BACKGROUND: Post-traumatic stress disorder (PTSD) is a psychosocial factor of interest in the multifactorial aetiology of temporomandibular disorder (TMD) pain, awake bruxism (AB) and sleep bruxism (SB).

OBJECTIVE: To investigate direct and indirect associations between post-traumatic stress disorder (PTSD), TMD pain, AB, SB and demographic and psychological variables using network analysis.

METHODS: The study sample included 597 subjects recruited from a specialised centre for the treatment of PTSD. Network analysis was performed using a Mixed Graphical Model and included variables of self-reported TMD pain, self-reported AB, self-reported SB, age, sex, PTSD symptom severity, mood disorders, anxiety disorders and insomnia severity. These variables were visualised in the network model as nodes connected by edges, representing individual associations.

RESULTS: The network model revealed a triangular positive association between TMD pain, AB and SB. AB also displayed a positive connection with anxiety disorders, while PTSD symptom severity was linked to insomnia, mood disorders and anxiety disorders. Age and sex did not significantly influence the network structure, although a negative association was observed between these variables, indicating younger ages among female subjects.

CONCLUSION: TMD pain, AB and SB were strongly associated with each other in subjects with PTSD. The presence of anxiety disorders emerged as a bridge factor, connecting the triangular positive association between TMD pain, AB and SB with psychological conditions (PTSD severity, insomnia severity, mood disorders).

The operating theatre nurse is responsible for advanced perioperative care in complex environments requiring both technical and non-technical skills. Non-technical skills training can improve teamwork and reduce the risk of adverse events. The Scrub Practitioners’ List of Non-Technical Skills (SPLINTS) is a behavioural assessment tool for scrub practitioners not yet translated into Swedish. A Swedish version would provide a common conceptual base and strengthen non-technical skills for Swedish operating theatre nurses. The present study therefore aimed to translate the SPLINTS into Swedish, making it useable in a Swedish perioperative context. A three-round Delphi study was conducted to reach consensus for a Swedish translation. A mean rating of eight or higher on a 10-point scale, assessed as agreement among the experts, was reached in the third round. Although consensus level of agreement was not reached for all elements, three rounds resulted in agreement by a majority. Guidance on Conducting and Reporting Delphi Studies (CREDES) was used as reporting guideline. This Delphi study conducted an important first version of a Swedish translation of the SPLINTS, which, however, needs to be followed by validation and psychometrical testing.

This thesis examines the multifaceted challenges encountered by Syrian multilinguals in Sweden in acquiring English as a third language, focusing on the psychological, social, and phonological dimensions from childhood to adulthood. It investigates how Arabic, as the native language, and Swedish, as a second language, mediate English acquisition, particularly in navigating phonetic obstacles. Drawing on semi-structured interviews with Syrian adults who learned English in Swedish schools, the study reveals significant emotional and social hurdles in early language learning, including isolation, embarrassment, and frustration stemming from pronunciation difficulties and peer interactions. While Swedish proficiency facilitated phonetic development by providing a bridge to English sounds like /p/ and /v/, persistent struggles with phonemes such as /ð/ underscored the limits of linguistic flexibility, especially during language-switching. These findings challenge translanguaging theory’s premise of seamless transitions across linguistic systems, suggesting instead a need for structured separation of phonological systems, as supported by interference theory. The research further explores the enduring effects of phonetic interference, which impacted participants’ confidence, social integration, and professional opportunities into adulthood. The study advocates for further investigation into the psychological and social dimensions of multilingualism and the development of targeted strategies to enhance phonetic accuracy and support learners’ integration. 

Anti-work refers to a contentious rejection of work as a determinant of one's self-worth or worth to society. The most central principle is that work requires the submission of the individual's free will for the benefit of the organization and that this has negative consequences for workers' well-being. Even though the anti-work movement has grown rapidly in recent years, research on this phenomenon is scarce. This preregistered study (N = 2595) aimed to examine the relation between anti-work orientation and a range of socio-political attitudes, as well as its prevalence among different demographic groups in Sweden. The results revealed that anti-democratic attitudes and anti-hierarchical aggression were the strongest socio-political predictors of anti-work attitudes, followed by support for censorship and partisanship. Furthermore, voters of both the left party and the right-wing populist party were overrepresented among individuals scoring high on anti-work orientation, suggesting an “extremism” effect at both ends of the political spectrum. The strongest demographic predictors were young age and low income. Interestingly, latent class analysis revealed that men were strongly overrepresented in both the class of anti-work-supporters and the class with low anti-work orientation. These findings add new insights into the growing political discourse around the nature of work.

Purpose: Implant-supported restorations are well-documented treatments from a clinical perspective. Analysis of their cost-effectiveness is however limited, especially for implant-supported overdentures. The objective of this systematic review was to assess the literature on cost-effectiveness regarding maxillary implant-supported overdentures compared to complete dentures and fixed implant-supported restorations.

Methods: Three electronic databases: PubMed, Cochrane Library and Web of Science, were searched for original studies including economic analysis of implant-supported overdenture treatment in the maxilla.

Results: The literature search resulted in 190 articles. After elimination of duplicates and assessment of eligibility according to pre-establishedcriteria, two studies presenting the results from a single patient cohort were included and read in full text.

Discussion: Cost-effectiveness analysis is important for society as well as the individual patient. This is true for any treatment, but perhaps particularly for extensive treatments such as treatment of edentulism.

Conclusion: The level of evidence for the cost-effectiveness of maxillary implant-supported overdentures is very low due to a severe lack of studies. Further research is needed to provide guidance in the clinical decision on the best choice of treatment

This thesis was conducted within a community-based participatory research (CBPR) program, initiated as a response to preceding health inequity commissions, and aiming to find innovative forms for health promotion. The overall aim of the thesis was to develop health promotion through CBPR, together with women with experience of migration in a socioeconomically disadvantaged neighborhood in Sweden. The CBPR approach guided the process, focusing on reflective dialogues and both qualitative and quantitative data collection methods were used. As a point of departure for the process, an identification of conditions for health and of actions to promote it, was made together with participants. The actions were developed in collaboration into various activities, and the participants pointed out contributors that made them engage in health-promoting activities: lay health promoters, having a place to meet, and social cohesion. The knowledge brought forward about health issues and health promotion within the community was used in the development of a CBPR intervention addressing type 2 diabetes. The intervention was a collaboration between the community and other actors and included reflective dialogues and workshops, conducted as group activities. In the mixed-method evaluation, it was found that stress and waist circumference were reduced, and that social support was crucial throughout the process, in providing motivation to engage in the activities and in promoting health. 

Denna förstudie om förutsättningar för och möjligheterna med en projekteringsguideför termisk komfort med fokus på övertemperaturer har genomförts på kort tid för attkunna vara underlag för framtida projekt. Åtminstone tre olika problemområden kanurskiljas:

• Det är svårt att definiera scenariodata för framtida väder och klimat samt påverkanav lokala förhållanden.

• Mängden variabler som har betydelse vid beräkning av termisk komfort är stortoch det krävs fler simuleringar för att bättre kunna bestämma vilka variabler somhuvudsakligen ska beaktas för att säkerställa beräkningsresultat

.• Hur stora variationer finns och hur ska riskvärdering göras för de klimatfiler somtas fram för framtida klimat.

Detta är en kunskapssammanställning om buller i samhället som syftar till att ökakunskap om bullerexponering och dess effekter. Här beskrivs gällande regler,tillämpning och effekter av dessa. Jämförelser beskrivs med hur andra nordiska länderhanterar buller och en reflektion av hur buller hanteras i Sveriges.Sammanställningen har särskilt fokus på trafikbuller då det är den dominerande källantill bullerexponering. Här granskas bullerproblematikens historiska utveckling,nuvarande lagstiftning och riktlinjer, källor till buller, dess effekter, samt framtidautmaningar och möjligheter inom bullerhantering. Lagar och förordningar som reglerarbuller i Sverige beskrivs, inklusive miljöbalken, plan- och bygglagen ochtrafikbullerförordningen samt kort hur tekniska lösningar får användas. Även EU:sdirektiv om omgivningsbuller och dess implementering i Sverige belyses.E

Skadedjuren är många och finns i ett brett spektrum. Från stora djur som grävlingar tillden minsta insekten. I denna kunskapssammanställning läggs tyngdpunkten påbeskrivning av insekter. Skadedjur finns i och påverkar de flesta byggmaterial, frånorganiska material som trä och cellulosa till hårdare material som metall, puts och bruk.Skadedjur kan leva av och med mikroorganismer, svampar och mögel, ibland i synergi.Statistik från förvaltare och skadesanerare visar att i flerbostadshus är vägglöss detproblem som hanteras oftast. Generellt i hela byggnadsbeståndet är gnagare detskadedjur som ger upphov till de flesta saneringarna. Myror är vanligare under apriljuni medan problem med vägglöss är störst augusti-mars.Lagstiftning samt föreskrifter och vägledningar från myndigheter ger tillsammans medbranschens aktörer, miljöcertifieringssystem och internationella standarderförutsättningar för byggande/förvaltning och hantering av skadedjur. En utblick till våragrannländer och i Europa visar att mycket är lika och att traditioner, kultur och historikkan förklara olikheter som finns. Mycket finns att lära av varandra.Det finns en oro att skadedjursproblem kan öka i framtiden med tanke på ökad handelöver gränserna och ett varmare klimat.

There is a growing academic tradition of employing strategies of reflective skills in social work education. Social professions are often dealing with the problems of vulnerability and complexity that exist when encountering clients’ needs. This article arises from the experiences of the author in providing reflective learning to health and social work students in Sweden. This study opens with evoking the concept of knowing and learning. It explores and discusses the epistemological basis of reflective learning to facilitate students’ knowledge creation, clinical reasoning and reflective learning in front-on planning interventions. Further, the study present an example of a reflection scheme matrix applied in the social work and social pedagogy bachelor educational programs at Malmö University to support student’s reflective learning and information gathering while planning social interventions for service receivers. During their reflective reasoning, students are supported in their process of reflection to gain control of the unsorted information and shape a base for their own internal experience while analysing the client’s situation. This article concludes with commentary about reflective learning potential including making sense of real professional situations, meaningful engagements and how to prepare students for professional operationalisation in complex, unpredictable situations.

This contribution includes a reflection on reactivation of abandoned places and focusing primarily on a new understanding of the role of architects in a future society, dealing more and more with participatory design tools and with the reuse of existing buildings and interpreting the notion of social and environmental sustainability. A window was opened towards the future where the imaginary landscapes developed by our students - and by the students who have answered the call - with unexpected results of reflections shared in this short Workshop lead by Marie Kraft and myself and accompanied by our UOU colleagues. In this section, the projects of the students are to be considered as a test bed for our work and reflections as researchers, practitioners and educators. An ATLAS of possibilities, both here and now.

This Section includes the constribution of the students:

Anastasia Milonas; Andreea Diana Roman, Anna Van Amersfoort; Ario Racho; Cecilia Elisabeth Eleanora Gustafsson; Enric Alonso, María Ponce; Larisa Daniela Gabor; Laura Adina Stupariu, Alina Ioana Constantin; Marta Selles; Raluca Ioana Negoescu, Iulia Ciungan;Thomas Bromley; Vendela Serrreli.

And of:

María Ponce The Celebration of Places and Instants of moments

In a 2010 policy reform, the centre-right Swedish government attempted to bring the area of integration policy into closer alignment with labour market policy for newly arrived migrants. In this paper, empirical data gathered from 181 individual case files from the Public Employment Service (PES) is used to analyse the different trajectories of migrants. I construct a typology of five different sub-groups to explore how migrants manage the different challenges of the policy program. The main contribution of the article is to highlight the individual differences among the group and how various strategies are formed within the same policy framework.

Tannregulering med gjennomsiktige skinner har hatt en eksponentiell vekst de siste årene. Skinnene kalles «alignere»og har revolusjonert især voksen-kjeveortopedien de seneste 10-20 år. Tidligere var kjeveortopedi et vanskelig spesiale å kaste seg ut i uten offisiell videreutdannelse innen kjeveortopedi, men med denne nye teknikken på markedet er muligheten for allmenntannleger blitt større. De fleste pasienter har lettere for å akseptere å bli behandlet med gjennomsiktige plastikkskinner fremfor fast apparatur på forsiden av tennene. Økt tilgjengelighet av teknikken og kraftige reklamefremstøt kombinert med en økt etterspørsel, samt forskning og utvikling i feltet, har gjort alignere til en kommersiell suksess, og markedet utvikler seg markant for tiden. Vi vil i denne artikkelen diskutere fordeler og ulemper av teknikken, belyse problemområder, informere om effektiviteten av alignere til spesifikke tannforflytninger samt illustrere effekten med to pasienttilfeller. Artikkelen er tenkt som en overordnet introduksjon av nåværende evidens omkring behandling med alignere, hvoretter den interesserte kliniker kan fordype seg ytterligere.

Teaching in oral pathology at the dental schools aims to give students insight into the histopathology of the most common diseases and conditions that they will meet later in their career. Such knowledge is important for their understanding of the clinical manifestation of the diseases and their development. Previously, courses in oral pathology have been arranged in special halls, equipped with microscopes, which has been resource-intensive and has given the students limited time to study the tissue sections. New technology has been developed where tissue sections are scanned and uploaded to digital platforms that can be made available to students, who may study the tissue sections as in a virtual microscope, leading to increased flexibility both for students and teachers. Students can prepare for the lectures and can later study the tissue sections on their own computer. The integration with clinical subjects is made easier, and teaching material can be shared between institutions. The scanned tissue sections have a quality compatible with a high quality light microscope.

The ban on Loyal to Familia - The material limits of the freedom of association

On 1 September 2021, the Danish Supreme Court banned the gang Loyal to Familia (LTF) because it had an illegal aim and was therefore classified as an illegal association. This sentence marks a new understanding of the material limits to the constitutional freedom of association. It was the third ban of a Danish association, and the first ban of an association that did not have the aim of overthrowing democracy. Using court transcripts, this article describes the contents and major themes in the evidence presented by the prosecutor. The gang’s organisation was structured and hierarchical as based on recovered documents described as containing membership lists, titles, fees and collective economic resources. Members committed a broad range of serious violent and drug-related offenses. Incarrcerated members of the gang violently attacked prison guards. In two instances, these attacks occurred outside of prisons on the behest of the gang. The courts agreed that the gang itself facilitated some of the violence and drug offending. While their motivations differed, all three courts agreed that Danish society had a constitutional right. The courts also agreed that the administratively issued temporary ban on the gang from 2018 was legal.

This article compiles the experience accumulated over 9 years in the design and execution of data sprints within the framework of the Master’s Degree in Digital Communication and Marketing at the Universitat Autònoma de Barcelona. With more than 90 different projects behind them, these conferences have been a meeting point for professionals, academics and students, enabling the exchange of knowledge and the transfer of techniques between academic research methods and research applied to digital marketing. At the same time, the data sprint format facilitates practical knowledge and the acquisition of communication, organisational and problem-solving skills. The article presents three examples of projects to illustrate the activity carried out and discusses its impact based on a focus group with several participants, to point out the benefits of the experience as well as the difficulty of applying the format in the professional environment.

Studien utforskar lärares uppfattningar av AI samt dess möjligheter och utmaningar i undervisningen. Syftet är att undersöka lärares uppfattningar om användningen av AI i skrivundervisningen inom svenskämnet, samt att identifiera de möjligheter och utmaningar som framträder utifrån deras erfarenheter och perspektiv. Med utgångspunkt i critical literacy, lärarens fem roller, elevens fem roller och den didaktiska triangeln analyseras lärares perspektiv kopplat till AI i klassrummet. Studien tar avstamp i en kvalitativ metod och genomförs med hjälp av semistrukturerade intervjuer med åtta lärare i svenska som undervisar på mellanstadiet.

Resultatet visar en komplex bild av AI i skrivundervisningen. Lärarna ger upphov till en tudelad inställning av AI där både nyfikenhet och osäkerhet präglar deras uppfattning. En gemensam uppfattning är att AI hittills inte gjort stora avtryck i undervisningen men att det är något som de behöver förbereda sig för och förhålla sig till framöver. I nuläget har de en observerande hållning till verktyget vilket främst beror på okunskap. Den tudelade upplevelsen visar sig även i möjligheter och utmaningar, där AI å ena sidan kan ses som en möjlighet i att stödja elevernas lärande uppgifter inom skrivundervisningen och avlasta läraren i sin yrkesroll. Å andra sidan framträder utmaningar i form av fusk, källkritik och skrivmotstånd. Det framkommer även en upplevd brist på kunskap om AI, vilket gör att vissa lärare tvekar att använda det i klassrummet. Samtidigt är de överens om att AI är här för att stanna, vilket skapar ett behov av att lära sig att hantera det. 

Under våra VFU perioder har vi förstått vikten av individanpassning och hur det kan vara avgörande för elevers vidareutveckling i tidiga skolår. Syftet med vår studie är att beskriva och analysera individanpassad läsundervisning. Vi vill få en inblick i vilka strategier och metoder som är framträdande i lärarnas arbete inom individanpassning vad gäller läsinlärning och läsundervisning. The simple view of reading och phonics är två teorier som ligger till grund för vår studie. För att besvara frågeställningarna har vi genomfört semistrukturerade intervjuer med sex lärare från två olika skolor. Resultatet visar många likheter i lärarnas definition av individanpassning och vikten av att individanpassa i läsundervisningen. Resultatet visar också att det finns skillnader i lärarnas metoder och arbetssätt samt skillnad i hur de arbetar i de två olika skolorna. De intervjuade lärarna hanterar även utmaningar som medföljer med individanpassning på olika sätt. Lärarna i studien anpassar sin undervisning genom en kombination av phonics-baserad undervisning för avkodning och språkstärkande insatser.

The record of the meetings of UNESCO’s General Conference offers a valuable resource for research in the global humanities. We present a digital text corpus, including metadata and supplementary material, that makes the complete record of these meetings from 1946 to 2017 in English and/or French accessible in a machine-readable form that is suitable for digital text analysis. The corpus is stored on Zenodo; relevant code is available on GitHub. The corpus offers reuse potential for scholars interested in any of the countless issues that have been discussed and debated in UNESCO’s General Conference over more than seventy years, as well as to Natural Language Processing (NLP) developers interested in the challenges of language recognition and automated segmentation. 

Earth Observation (EO) data is crucial for understanding, managing, and conserving our planet's ecosystem and its natural resources. This data enables humanity to monitor environmental changes, such as natural disasters, urban growth, and climate shifts, assisting informed decisions and proactive measures. Early EO heavily relied on statistical methods and expert domain knowledge, but the advent of machine learning has revolutionized EO data processing, enhancing efficiency and accuracy. Conventional ML models require expensive and labor-intensive data labeling. In contrast, unsupervised ML techniques can learn features from data without the need for manual labeling, making the process more efficient and cost-effective.

This thesis presents a UCL approach utilizing advanced DL models to classify EO data, referred to as UCL4EO. This approach eliminates the need for manual data labeling in training the DL model. The UCL framework comprises i) a DL model tailored for feature extraction from image data, ii) a clustering method to group deep features, and iii) a selection operation to capture representative samples from these clusters. The CNN extracts meaningful features from images, subjected to a clustering algorithm to create pseudo-labels. After identifying the initial clusters, representative samples from each cluster are chosen using the UCL selection operation to fine-tune the feature extractor. The stated process is repeated iteratively until convergence. The proposed UCL approach progressively learns and incorporates salient data features in an unsupervised manner by utilizing pseudo-labels.

UCL started as a proof of concept to show the viability of the method for binary classification on RS and aerial imagery. Specifically, the UCL framework is employed to identify water bodies using three RGB datasets, encompassing both low and high-resolution RS and aerial imagery. While UCL has been extensively examined with RGB imagery, it has been adapted to benefit from the enhanced capabilities of multi-spectral satellite imagery. This adaptation enables UCL to generalize to multi-spectral imagery from Sentinel-2 to detect forest fires in Australia. UCL undergoes subsequent improvements and is further investigated to identify utility poles in high-resolution UAV images. These gray-scale images of utility poles pose computer vision challenges, including issues like occlusion and cropping, where a significant portion of the image contains the background and only a slight appearance of the utility pole. Extensive experimentation on the mentioned tasks effectively showcases UCL's adaptive learning capabilities, producing promising results. The achieved accuracy surpassed those of supervised methods in cross-domain adaptation on similar tasks, underscoring the effectiveness of the proposed algorithm.

The scope of UCL has been extended to encompass multi-class classification tasks in the domain of RS data, referred to as Multi-class UCL. Multi-class UCL progressively acquires knowledge about various categories on multi-scale resolution. To investigate Multi-class UCL, we have used four publicly available datasets of Sentinel-2 and aerial imagery: EuroSAT, SAT-6, UCMerced, and RSSCN7. Comprehensive experiments conducted on the above-mentioned datasets revealed better cross-domain adaptation capabilities compared to supervised methods, thereby demonstrating the effectiveness of Multi-class UCL.

In these investigations, two datasets are generated using Sentinel-2 satellite imagery: one for water bodies - PakSAT and the other for Australian forest fires. However, cloud cover poses a significant challenge by obstructing the satellite's ability to capture clear images of the Earth's surface. To address this issue, available cloud masking techniques are employed to filter out images affected by cloud cover, ensuring the datasets contain only clear and usable data. Later, this thesis examines cloud detection and Cloud Optical Thickness (COT) estimation from Sentinel-2 imagery. We employed machine-learning techniques, achieving better performance than SCL designed by ESA for cloud cover tasks.

In addition to the application in RS data, UCL has been investigated in other domains of EO, such as undersea imagery. Furthermore, UCL has also been used for tasks like natural scene classification, medical imaging, and document analysis, demonstrating its versatility and broad applicability. Further exploration of UCL could involve improving the process of generating pseudo-labels through deep learning techniques.

The thesis focuses on machine learning methods for Earth Observation (EO) data, more specifically, remote sensing data acquired by satellites and drones. EO plays a vital role in monitoring the Earth’s surface and modelling climate change to take necessary precautionary measures. Initially, these efforts were dominated by methods relying on handcrafted features and expert knowledge. The recent advances of machine learning methods, however, have also led to successful applications in EO. This thesis explores supervised and unsupervised approaches of Deep Learning (DL) to monitor natural resources of water bodies and forests. 

The first study of this thesis introduces an Unsupervised Curriculum Learning (UCL) method based on widely-used DL models to classify water resources from RGB remote sensing imagery. In traditional settings, human experts labeled images to train the deep models which is costly and time-consuming. UCL, instead, can learn the features progressively in an unsupervised fashion from the data, reducing the exhausting efforts of labeling. Three datasets of varying resolution are used to evaluate UCL and show its effectiveness: SAT-6, EuroSAT, and PakSAT. UCL outperforms the supervised methods in domain adaptation, which demonstrates the effectiveness of the proposed algorithm. 

The subsequent study is an extension of UCL for the multispectral imagery of Australian wildfires. This study has used multispectral Sentinel-2 imagery to create the dataset for the forest fires ravaging Australia in late 2019 and early 2020. 12 out of the 13 spectral bands of Sentinel-2 are concatenated in a way to make them suitable as a three-channel input to the unsupervised architecture. The unsupervised model then classified the patches as either burnt or not burnt. This work attains 87% F1-Score mapping the burnt regions of Australia, demonstrating the effectiveness of the proposed method. 

The main contributions of this work are (i) the creation of two datasets using Sentinel-2 Imagery, PakSAT dataset and Australian Forest Fire dataset; (ii) the introduction of UCL that learns the features progressively without the need of labelled data; and (iii) experimentation on relevant datasets for water body and forest fire classification. 

This work focuses on patch-level classification which could in future be expanded to pixel-based classification. Moreover, the methods proposed in this study can be extended to the multi-class classification of aerial imagery. Further possible future directions include the combination of geo-referenced meteorological and remotely sensed image data to explore proposed methods. Lastly, the proposed method can also be adapted to other domains involving multi-spectral and multi-modal input, such as, historical documents analysis, forgery detection in documents, and Natural Language Processing (NLP) classification tasks.

This study aims to support older adults in using e-health more independently by looking at the case of 1177.se. 1177.se is Sweden’s main national website for accessing healthcare information and services online. The purpose is to understand older adults’ experiences and any potential challenges they face using 1177.se, as well as whether there are support networks that facilitate its use and how they do so, thereby identifying opportunities to support older adults in using 1177.se independently. To gain insights, interviews were conducted with 11 older adults and 5 individuals with firsthand experience in supporting older adults in using the website. These revealed challenges, including difficulties navigating the website and using its services. Other challenges included insufficient digital skills, age-related physical and cognitive decline, and negative emotions associated with its use. The study also found that effective assistance strategies for many older adults included step-by-step instructions for tasks on the website, allowing them to handle interactions independently while highlighting key elements on the screen for them, as well as providing continuous encouragement. A design thinking approach was utilized to turn these insights into a solution, resulting in the creation of a prototype in the form of a feature on 1177.se. This prototype provides instruction lists and visual guidance for tasks on the website, along with encouraging messaging as users interact with it.

Studenterna på kriminologiprogrammet vid Malmö universitet läser under termin fem kursen Kriminologi: Tillämpning. Under kursen får studenterna undersöka aktuella ämnen med fokus på samverkan inom brottsförebyggande och trygghetsskapande arbete. Genom den samverkansöverenskommelse som finns mellan Institutionen för kriminologi och Polisområde Malmö tilldelas studenterna på kursen olika ämnen med utgångspunkt i den lokala problembilden i kommunen. Hösten 2024 har BID Malmö dessutom samverkat med studenterna på kursen.

Kursen löper över tio veckor och arbetet genomförs i grupp där studenterna tillämpar kunskaper som de har förvärvat under tidigare kurser på kriminologiprogrammet. Genom att använda kriminologisk kunskap för att belysa och undersöka ämnen som tar sin utgångspunkt i reella problem ges studenterna under kursen möjlighet att testa och omsätta teoretiska kunskaper i ett praktiskt sammanhang. Varje grupp sammanställer en rapport som även presenteras muntligt för representanter för Polisområde Malmö, lärare, studenter samt andra aktörer som på olika sätt bidragit till studenternas rapporter.

Under höstterminen 2024 har studenterna undersökt följande ämnesområden: Länsstyrelsernas och polisens informationsmaterial ”Gängsnacket”, polisens arbetssätt under Eurovision 2024, trafikproblematiken i centrala Malmö, ungas involvering i våldsbejakande fotbollssupportergrupper, tryggheten i Södra Sofielund samt klotter, olaga affischering och nedskräpning på Möllevången.

Ämnena är unika och varje grupp har fått använda de metoder som de ansett vara mest lämpliga för att samla in relevant information. Varje grupp har också identifierat och kontaktat relevanta organisationer och individer som har kunnat bidra med kunskap om ämnet. Den insamlade informationen har analyserats för att besvara frågeställningarna som ligger till grund för studenternas arbeten. Med utgångspunkt i analysen och tidigare forskning har studenterna sedan arbetat fram åtgärdsförslag som främst riktats till Polisområde Malmö men även till andra aktörer av relevans för det aktuella problemområdet.

Varje grupp har under arbetet haft en kontaktperson i form av en kommunpolis verksam i något av Malmös lokalpolisområden eller en person verksam vid BID Malmö. Under kursen har studenterna också haft regelbunden handledning med kursens lärare. Studenternas arbeten har dock bedrivits självständigt där metodval, analys och åtgärdsförslag är studenternas egna. Dessutom har studenterna fortlöpande löst olika problem och uppvisat flexibilitet för att säkerställa rapporternas färdigställande.

Rapporterna redogör för sex vitt skilda ämnen vilket visar på den mångfald av ämnen och problem som är relevanta för Polisområde Malmö samt BID Malmö. Därutöver visar den ämnesmässiga bredden på kriminologins vidsträckta tillämpningsområde. Som läsare får du således en inblick i hur olika ämnen kan belysas och undersökas med hjälp av kriminologisk kunskap.

Designing technologies that clothe, adorn, or are otherwise placed on the body raises questions concerning the role they will play in dressing ourselves. We situate self-fashioning – or the process through which we stylise and present our bodies – as a complex practice where a series of social, material, and contextual factors shape how we present ourselves. Informed by reflective discussions and projective design tools, we contribute three critical points of departure for self-fashioning technologies: (i) Purposeful examining discomfort as an ongoing phenomenon, (ii) Supporting mimesis and visibility as qualities to be negotiated, and (iii) Envisioning the multiplicity of the body. We call for the design community to help devise fashionable technologies that are sensitive, caring, and responsive to the complexities of fashioning our bodies.

The study examines the role of digital tools in mathematics education, focusing on the impact on students' learning experiences. The problem identified is the increasing use of digital tools in classrooms and the need to assess whether they enhance understanding or create new challenges​. The purpose of the study is to gain insights from teachers about the benefits and difficulties of using digital tools in mathematics for the younger children in primary school. The pedagogical triangle, which illustrates the interaction between the teacher, student, and content, serves as a key theoretical framework in our study. This model highlights how effective teaching depends on the relationship between these three components. The pedagogical triangle helps analyze how digital tools influence mathematics education by teachers' choice of presenting content, how students engage with learning materials and how knowledge is created in the classroom. 

Another key theory we chose to apply in our study is based on Skemp’s (2006) distinction between instrumental and relational understanding. Instrumental understanding involves learning procedures without comprehension, whilst relational understanding creates a deeper understanding of mathematical concepts​. The study employs a qualitative method using semi-structured interviews with teachers. A thematic content analysis was used to identify patterns in the collected data​. Results show that digital tools can enhance visualization, individualization, and student motivation, but they also pose challenges such as distractions, limited adaptability, and technical difficulties​. The conclusion highlights the need for well-integrated digital tools and teacher training to maximize their effectiveness in fostering deeper mathematical understanding​. 

Syftet med studien var att undersöka hur lärare i lågstadiet undervisar om historia genom film. Vi har utgått från tre frågeställningar: Vad motiverar lågstadielärare att använda film i historieundervisningen?, Hur arbetar lågstadielärare med film i historieundervisningen? och Vilka utmaningar uttrycker lågstadielärare att det kan finnas med att använda film i historieundervisningen? 

Med avstamp i en fenomenologisk ansats har vi genomfört en kvalitativ intervjustudie där vi har undersökt sex lågstadielärares upplevelser av att undervisa historia med hjälp av film. Genom detta har vi samlat in empiri för att således kunna besvara våra frågeställningar. Empirin som samlats in har bearbetats utifrån Braun och Clarkes (2006) modell för tematisk analys. 

Resultatet har analyserats utifrån de två teoretiska perspektiven didaktik och historiedidaktik. Inom dessa perspektiv har vi valt att fokusera på den didaktiska triangeln, de didaktiska frågorna samt historiemedvetande. Resultatet visar att lärarna främst hade tre motiveringar med att använda film i historieundervisningen. Motiveringarna var att stötta eleverna språkligt, att synliggöra och visualisera historien samt att skapa engagemang. Resultatet visar även att lärarna betonade vikten av att arbeta med eleverna innan filmen för att aktivera förförståelse, under filmen för att förtydliga innehållet samt efter filmen för att bearbeta innehållet. Slutligen visar resultatet att lärarna belyser olika utmaningar med att arbeta med film. Utmaningarna var elevernas förståelse, lärarnas förberedelse, brist på tid samt brist på tillgängligt material. Undersökningens allomfattande slutsats visar på att lärare i lågstadiet har stora möjligheter att använda film som ett pedagogiskt verktyg i undervisningen för att utveckla elevers kunskaper i historia. Undersökningen visar att lärarens roll och didaktiska reflektioner är viktiga för att film som aktivitet ska bli ett givande lärtillfälle. Det visade sig emellertid att det även finns utmaningar med att använda film i historieundervisningen i lågstadiet som kan hindra lärare från att nå det pedagogiska verktygets fulla potential. 

Aim: The aim was to shed light on how parents or guardians experience the counselling session regarding lifestyle changes for their child with overweight, aged 2–6 years, in primary care context equivalent to the Swedish child health centre. Method: This systematic literature review was conducted using a qualitative approach based on the methodological support provided by the Swedish Agency for Health Technology Assessment and Assessment of Social Services (SBU 2024). A thematic synthesis in three stages was carried out according to Thomas and Harden (2008). Literature searches were performed in the PubMed and CINAHL databases. Five qualitative primary studies were included following appraisal using SBU’s quality assessment tool. The results were thematically analyzed and assessed for confidence using GRADE-CERQual. Results: Two overarching themes were identified: The advisory conversation evokes strong emotions and reflections and The child health nurse’s approach is of great importance. Under these themes, parents commonly described a complex sense of responsibility, and practical difficulties in implementing family lifestyle changes. At the same time, the importance of a trusting care relationship, continuity in contact with the child health nurse, and a conversation tailored to the family’s individual needs were emphasized. Parents expressed a desire for evidence-based information and concrete strategies. The child’s presence during the conversation was a sensitive issue, with parents perceiving a risk of negative consequences. Conclusion: Parents expressed a need for respectful counselling, with an emphasis on involvement and evidence-based information. Concerns about the child’s psychological well-being, such as the risk of stigma and low self-esteem, were prominent and should be met with sensitivity. A family centred and empowerment based approach appeared particularly beneficial in supporting sustainable lifestyle changes.

The recognition of inner speech, which could give a ‘voice’ to patients that have no ability to speak or move, is a challenge for brain-computer interfaces (BCIs). A shortcoming of the available datasets is that they do not combine modalities to increase the performance of inner speech recognition. Multimodal datasets of brain data enable the fusion of neuroimaging modalities with complimentary properties, such as the high spatial resolution of functional magnetic resonance imaging (fMRI) and the temporal resolution of electroencephalography (EEG), and therefore are promising for decoding inner speech. This paper presents the first publicly available bimodal dataset containing EEG and fMRI data acquired nonsimultaneously during inner-speech production. Data were obtained from four healthy, right-handed participants during an inner-speech task with words in either a social or numerical category. Each of the 8-word stimuli were assessed with 40 trials, resulting in 320 trials in each modality for each participant. The aim of this work is to provide a publicly available bimodal dataset on inner speech, contributing towards speech prostheses.

Cloud formations often obscure optical satellite-based monitoring of the Earth’s surface, thus limiting Earth observation (EO) activities such as land cover mapping, ocean color analysis, and cropland monitoring. The integration of machine learning (ML) methods within the remote sensing domain has significantly improved performance for a wide range of EO tasks, including cloud detection and filtering, but there is still much room for improvement. A key bottleneck is that ML methods typically depend on large amounts of annotated data for training, which are often difficult to come by in EO contexts. This is especially true when it comes to cloud optical thickness (COT) estimation. A reliable estimation of COT enables more fine-grained and application-dependent control compared to using pre-specified cloud categories, as is common practice. To alleviate the COT data scarcity problem, in this work, we propose a novel synthetic dataset for COT estimation, which we subsequently leverage for obtaining reliable and versatile cloud masks on real data. In our dataset, top-of-atmosphere radiances have been simulated for 12 of the spectral bands of the Multispectral Imagery (MSI) sensor onboard Sentinel-2 platforms. These data points have been simulated under consideration of different cloud types, COTs, and ground surface and atmospheric profiles. Extensive experimentation of training several ML models to predict COT from the measured reflectivity of the spectral bands demonstrates the usefulness of our proposed dataset. In particular, by thresholding COT estimates from our ML models, we show on two satellite image datasets (one that is publicly available, and one which we have collected and annotated) that reliable cloud masks can be obtained. The synthetic data, the newly collected real dataset, code and models have been made publicly available.

We conduct relatively extensive investigations of automatic hate speech (HS) detection using different State-of-The-Art (SoTA) baselines across 11 subtasks spanning six different datasets. Our motivation is to determine which of the recent SoTA models is best for automatic hate speech detection and what advantage methods, such as data augmentation and ensemble, may have on the best model, if any. We carry out six cross-task investigations. We achieve new SoTA results on two subtasks—macro F1 scores of 91.73% and 53.21% for subtasks A and B of the HASOC 2020 dataset, surpassing previous SoTA scores of 51.52% and 26.52%, respectively. We achieve near-SoTA results on two others—macro F1 scores of 81.66% for subtask A of the OLID 2019 and 82.54% for subtask A of the HASOC 2021, in comparison to SoTA results of 82.9% and 83.05%, respectively. We perform error analysis and use two eXplainable Artificial Intelligence (XAI) algorithms (Integrated Gradient (IG) and SHapley Additive exPlanations (SHAP)) to reveal how two of the models (Bi-Directional Long Short-Term Memory Network (Bi-LSTM) and Text-to-Text-Transfer Transformer (T5)) make the predictions they do by using examples. Other contributions of this work are: (1) the introduction of a simple, novel mechanism for correcting Out-of-Class (OoC) predictions in T5, (2) a detailed description of the data augmentation methods, and (3) the revelation of the poor data annotations in the HASOC 2021 dataset by using several examples and XAI (buttressing the need for better quality control). We publicly release our model checkpoints and codes to foster transparency.

This paper presents the first publicly available bimodal electroencephalography (EEG) / functional magnetic resonance imaging (fMRI) dataset and an open source benchmark for inner speech decoding. Decoding inner speech or thought (expressed through a voice without actual speaking); is a challenge with typical results close to chance level. The dataset comprises 1280 trials (4 subjects, 8 stimuli = 2 categories * 4 words, and 40 trials per stimuli) in each modality. The pilot study reports for the binary classification, a mean accuracy of 71.72\% when combining the two modalities (EEG and fMRI), compared to 62.81% and 56.17% when using EEG, resp. fMRI alone. The same improvement in performance for word classification (8 classes) can be observed (30.29% with combination, 22.19%, and 17.50% without). As such, this paper demonstrates that combining EEG with fMRI is a promising direction for inner speech decoding.

Seagrass ecosystems are pivotal in marine environments, serving as crucial habitats for diverse marine species and contributing significantly to carbon sequestration. Accurate classification of seagrass species from underwater images is imperative for monitoring and preserving these ecosystems. This paper introduces Unsupervised Curriculum Learning (UCL) to seagrass classification using the DeepSeagrass dataset. UCL progressively learns from simpler to more complex examples, enhancing the model's ability to discern seagrass features in a curriculum-driven manner. Experiments employing state-of-the-art deep learning architectures, convolutional neural networks (CNNs), show that UCL achieved overall 90.12 % precision and 89 % recall, which significantly improves classification accuracy and robustness, outperforming some traditional supervised learning approaches like SimCLR, and unsupervised approaches like Zero-shot CLIP. The methodology of UCL involves four main steps: high-dimensional feature extraction, pseudo-label generation through clustering, reliable sample selection, and fine-tuning the model. The iterative UCL framework refines CNN's learning of underwater images, demonstrating superior accuracy, generalization, and adaptability to unseen seagrass and background samples of undersea images. The findings presented in this paper contribute to the advancement of seagrass classification techniques, providing valuable insights into the conservation and management of marine ecosystems. The code and dataset are made publicly available and can be assessed here: https://github.com/nabid69/Unsupervised-Curriculum-Learning—UCL.

This paper presents a Convolutional Neural Networks (CNN) based Unsupervised Curriculum Learning approach for the recognition of water bodies to overcome the stated challenges for remote sensing based RGB imagery. The unsupervised nature of the presented algorithm eliminates the need for labelled training data. The problem is cast as a two class clustering problem (water and non-water), while clustering is done on deep features obtained by a pre-trained CNN. After initial clusters have been identified, representative samples from each cluster are chosen by the unsupervised curriculum learning algorithm for fine-tuning the feature extractor. The stated process is repeated iteratively until convergence. Three datasets have been used to evaluate the approach and show its effectiveness on varying scales: (i) SAT-6 dataset comprising high resolution aircraft images, (ii) Sentinel-2 of EuroSAT, comprising remote sensing images with low resolution, and (iii) PakSAT, a new dataset we created for this study. PakSAT is the first Pakistani Sentinel-2 dataset designed to classify water bodies of Pakistan. Extensive experiments on these datasets demonstrate the progressive learning behaviour of UCL and reported promising results of water classification on all three datasets. The obtained accuracies outperform the supervised methods in domain adaptation, demonstrating the effectiveness of the proposed algorithm.

This article analyses the report “A Disability Rights Analysis of Genetic Technologies: Report on a National Convening of Disability Rights Leaders” (Generations Ahead 2009) to examine perspectives on prevention of gene-tic disabilities. The text is considered an alternative conversation compared to public conversations on preventive use of genetic technologies, such as those taking place in Sweden. Within disability research, the social conse-quences of prevention is an ongoing discussion, with arguments suggesting that a new form of eugenics has emerged. Today, eugenics is an individual project where new genetic technologies, such as prenatal screening, are of-fered to prospective families who must then decide whether to terminate the pregnancy or not. This article argues that it is central to find other ways to reason about the social phenomena that prevention creates.  

INTRODUCTION: As the Chinese immigrant population in European countries ages, it is important to gain a deeper understanding of Chinese immigrants' ageing processes from a life course perspective by recognising the complex interactions between social, cultural, and institutional constructs and dynamics. This article aimed at exploring how older Chinese immigrants in Europe handle everyday lives in respect to ageing from the perspectives of older Chinese immigrants, their relatives, and health/social care professionals.

METHODS: The study is registered in PROSPERO (CRD42023455411), and the PRISMA 2020 checklist guided the study. A qualitative systematic review was conducted through searches in the databases CINAHL, Embase, PsycINFO, Medline/PubMed, SocINDEX, Web of Science, and pearl search in Scopus (last search 3 September, 2023). Inclusion criteria were: (1) Studies about Chinese immigrants' everyday lives, living, and ageing, or studies focusing on their use of health/social care services, (2) Perspectives of Chinese immigrants in Europe, their relatives, and related health/social care professionals, (3) Qualitative peer- reviewed studies published in English, and (4) publications from 2000-2023. The initial search retrieved 842 publications. Seventeen publications were included and analysed through a thematic analysis.

RESULTS: The results presented the included studies' characteristics and four themes: Everyday life as an older adult mirrored the life lived, Work and working conditions as significant for ageing, Cultural complexes that shape social identities, Immigrants' social position as significant for encounters with health and social care professionals.

DISCUSSION: Older Chinese immigrants' everyday lives related to ageing were not only dynamically influenced by social, interpersonal, and institutional factors accumulated in their life trajectories, but reflected the process of constructing social and cultural identity in their new homeland. Future policies should promote culturally responsive healthcare, social services, and employment support to address the unique ageing experiences of older Chinese immigrants.

SYSTEMATIC REVIEW REGISTRATIONS: The systematic review has been registered on PROSPERO and the registration number is CRD42023455411.

Background: Postoperative urine retention can lead to permanent bladder dysfunction. This occurs even though healthcare personnel can access evidence-based guidelines on avoiding urine bladder injuries related to care.

Aim: This study aimed to describe healthcare professionals' experiences with, and strategies to avoid post-operative urinary retention among hip surgery patients.

Method: A descriptive qualitative study using telephone interviews, were conducted in April to June 2021, with 22 healthcare professionals (13 nurses, 7 nursing assistants and 2 occupational therapists) in 17 orthopaedic wards in Sweden. Qualitative content analysis of interview data was performed.

Results: Five categories were identified: "Knowledge about guidelines regarding bladder monitoring", "Understanding of patients' prehospital bladder function influences healthcare professionals' reasoning and actions", "Strategies are applied to make it easier for the patients to empty their bladder", "Indwelling catheter is used routinely" and "Short length of stay creates stress".

Conclusion: To optimise safe patient bladder monitoring after hip surgery, health care professionals need to be more aware of the availability of guidelines about bladder monitoring to adopt consistent monitoring practices, and to have enough time to care for patients.

Drawing on four sub-studies, the thesis adopts a predominantly qualitative approach to examine how football talent is understood and communicated in both media representations and high-performance youth environments. Empirical material includes German and Swedish media coverage, as well as ethnographic data from elite youth academies in one German Bundesliga club and one Swedish Allsvenskan club. The first two studies engage with both national contexts, analyzing how talent discourses are shaped within and across Germany and Sweden. The latter two studies focus solely on the German case, offering a more in-depth investigation of the organizational and technological dimensions of talent development. Theoretically, the first two papers presented in this dissertation are informed by Laclau and Mouffe’s approach to discourse theory, offering an underutilized yet powerful lens for examining the contingent and political nature of meaning-making in sport. In addition, the third paper draws on Karl Weick’s sensemaking framework to explore how football organizations construct and negotiate definitions of talent in interaction with one another. The final article takes an inductive approach to investigate how emerging technologies are reshaping current understandings and practices of identifying and managing talent. The findings emphasize that talent is an empty signifier that is mobilized to serve different strategic aims, often in ways that obscure the contingencies behind its construction. As such, the dissertation underscores the need for a critical engagement with how talent is defined and operationalized in football. It highlights the socio-cultural, technological, and institutional forces that shape talent discourses and calls for greater reflexivity in both academic and applied discussions of talent in sport.

Background: Sepsis is defined as a life-threatening condition characterized by

organ failure caused by a disruption in the systemic response to an infection. Each

year, nearly 49 million people worldwide are affected by sepsis, with

approximately 40,000 of them being from Sweden. Nearly one-fifth of those

affected do not survive and die from complications. The nurse is responsible for

the care of patients with sepsis, including the administration of fluid therapy and

prescribed medications. Nurses play a central role in identifying early symptoms

of sepsis and initiating treatment. Aim: The aim of this literature review was to

compile nurses' experiences and perceptions of identifying patients with sepsis at

an early stage in inpatient care. Method: The study was conducted as a literature

review with a qualitative approach and was based on ten scientific articles. Data

collection was performed through the databases Cinahl and PubMed. The analysis

was carried out using qualitative content analysis. Results: Nurses' experiences of

identifying sepsis at an early stage in inpatient care were compiled into four main

themes: Conditions for early identification of sepsis, Structural conditions:

Guidelines, workload, work environment, Evidence-based knowledge: Theory and

instruments, Interprofessional collaboration and communication. Conclusion: The

results show that the identification of sepsis is influenced by experience,

education, and working conditions. Experienced nurses rely on their intuition,

while less experienced ones focus on measurement data. Regular education

improves the ability to detect sepsis, but high workload can delay treatment.

Assessment tools can create anxiety, and good collaboration between nurses and

doctors is crucial. Improved working conditions and effective collaboration are

needed to achieve better care outcomes.

Keywords: Experiences, Identification, Nurses, Sepsis

Syftet med denna studie är att undersöka Netflix-användares inställning till reklam samt deras förväntningar på reklamsatsningen. Till denna studie användes den politisk-ekonomiska teorin för att fördjupa förståelsen av ämnet, inklusive begreppet publikvara och hur svenska Netflix-användare uppfattar den kommande reklamsatsningen. Studien genomfördes genom en intervjustudie där ett antal personer intervjuades om reklamsatsningen och reklam generellt. Resultaten, analyserades med politisk-ekonomisk teori, antyder att människor är medvetna om händelser omkring dem, såsom anpassningen av reklam. Dock är majoriteten av intervjupersonerna omedvetna om den bredare kontexten. Detta beror på att de flesta upplever reklam som nödvändig, även om den kan vara störande. Dessutom anser de flesta att reklamsatsningen är positiv eftersom priset är överkomligt. På grund av detta reflekterar de flesta intervjupersoner inte mycket över reklamsatsningen i ett större perspektiv, vilket innebär att de överlag inte är medvetna om vad som sker runt omkring dem.

This thesis contemplates the complexity of sexuality education in schooling by focusing on how Swedishsexuality education has come to be organised, stabilised, and able to reproduce positions of privilege andmarginalisation while it, at the same time has been seeking to disrupt and emancipate. By utilizing SaraAhmed’s concept of orientation, this thesis discusses the contribution of four stand-alone articles to explorehow the body, gender, race, and sexuality are (re)produced in Swedish sexuality education, how sexualityeducation is conditioned, and how educators can navigate sexuality education to “do right”.

Article I analyses biology education textbooks and interviews with teachers. It shows that a particularform of Swedish exceptionalism prevails within contemporary Swedish sexuality education in the shape ofhappy stories, which, on the one hand, emphasise important progression in legislation concerning sexualand reproductive rights and, on the other, reproduces exclusion by marginalising or othering anything butthe happiness of the open, inclusive, and progressive Swedishness. Article II presents a hermeneuticreading of a Linnaean lecture from the 1700s called Om sättet att tillhopa gå [About the way to becometogether]. By discussing this lecture through other scholarly work on Linnaeus and conceptualisation of thebody, gender, race and sexuality, the article discusses the body was envisioned to be a holistic vessel. Through Article I and Article II, the thesis discusses how conceptions of the body have radically changedand how this has affected both sexuality education and actions in society.

Article III discusses the tradition and pedagogic culture of talking within Swedish sexuality education byanalysing interviews and observations of municipality actors working with in-service teachers’ professionaldevelopment. It suggests that talking in sexuality education is neither natural nor neutral, for it is a culturalperformance of pedagogic tradition and ideals in which teachers can embody ideals of professionalism. Toget more insight into the embodiment of ideals, Article IV focuses on teachers’ experiences of how gender,age and sexuality has conditioned their practices in sexuality education. The article highlights how,especially older women, “tanter”, become successful as they embody a heterosexual, yet desexualised, lifecourse. In contrast, men, both young and old, are conditioned to perform safe forms of masculinity.

Together, Article III and Article IV show how teachers’ efforts to disrupt and emancipate normativenotions of gender and sexuality simultaneously can reproduce positions of privilege.

To conclude, this thesis shows sexuality education to be not only complex but unfulfilling as it reproducespositions of privilege and marginalisation, even if it is seeking to disrupt and emancipate. However, byshowing this, the thesis delivers a compelling argument for why it is necessary to continue providing anddeveloping sexuality education in school, as it is an important instrument for understanding who we are,what we know and how we are going to be uniquely diverse in a shared reproductive future.

This article enacts a re-presencing of Telematic Dreaming, theinfluential telepresence art installation by Paul Sermon from the1990s. Revisiting an often-cited text I wrote in 1994 called‘Spacemaking’, which spoke from the experience of being aperformer in the installation, I fill in what was missing, downplayedor unwelcome in the discourses of the time: that nobody isanybody (i.e. in technological environments bodies are never neutralor universal); and that artistic works are deeply contextual andintersectional. Taking a strongly political and contextual approach toTelematic Dreaming, I first reflect on the dual states of wonder &entitlement characterising digital experimentation of the 1990s thenI consider the cultural structures and material infrastructures of theinstallation, assessing the scope for ontological expansiveness andgender crique they afforded. Beyond a particular instance of timetravel,this article proposes a new methodological framework forexamining past performances. By turning to critical phenomenology,with contributions from feminist archaeology, media archaeology,and an unexpected appearance of Sara Ahmed’s feminist killjoy, Ioffer an approach that paves the way for future researchersinterested in engaging reflexively and critically with historicalphenomenological