84 10 851 https://urss.warwick.ac.uk/files/original/c97c9281f72250e23d733adb781c5c89.pdf 585217a82e0d04ba7122dc152a658844 Academic Paper An academic paper Abstract The abstract of the paper Thirty-five years after German reunification, the five eastern Länder voted in a manner unmatched by any western state. This dissertation argues that two causes operate in sequence rather than in competition. The transformation of the 1990s left a region that converged on western income levels until roughly 2019, then stopped, and that remains owned, headquartered, and administered from elsewhere. Forty-five years of separation determined the political form of grievance, producing a population that’s far more secular, ethnically homogeneous, and less attached to the churches, unions, and organizations that absorb similar grievances in the West. Using state-level and constituency-level data from the 2025 Bundestagswahl alongside aggregate series from 1980, the dissertation shows that district income strongly predicts AfD support in the east (r = −0.80, R2 = 0.64, n = 60) and only weakly in the west, while it barely predicts the combined Die Linke and BSW vote anywhere (r = −0.28 at state level). Two cultural correlations that appear to support a simple cultural thesis are shown to be more complex: irreligion reverses sign between subsamples, and migrant share cannot be cleanly separated from income. The conclusion is that authoritarian-leaning parties aren’t a single phenomenon, and that the AfD vote, in particular, tracks the accumulated economic position of a place rather than its current labour market. Meta Tags Meta tags German Politics Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Revolution im Osten? The Political Economy of AfD Support in East Germany Subject The topic of the resource German Politics Date A point or period of time associated with an event in the lifecycle of the resource 1990-2026 Contributor An entity responsible for making contributions to the resource Keiran Roberts https://urss.warwick.ac.uk/files/original/9b9f09be1b9155cfca1ec62659fc0a67.pdf b0f16292a1f1125e8ee7f730af62f9a3 Academic Paper An academic paper Abstract The abstract of the paper Abstract The abstract of the paper Meta Tags Meta tags Endometriosis Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Subject The topic of the resource Endometriosis Date A point or period of time associated with an event in the lifecycle of the resource 09/10/2026 Contributor An entity responsible for making contributions to the resource Reema Ali and Rania Abdel Rahman https://urss.warwick.ac.uk/files/original/9b0e871f81a6a421ef4bd1b846909f6b.pdf 33eaa88a141ecb4976270301751ac570 Academic Paper An academic paper Abstract The abstract of the paper Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Abstract Background: Endometriosis is associated with substantial diagnostic delay, and emerging evidence suggests that racial and ethnic disparities may influence progression through the diagnostic pathway. However, the extent and distribution of these disparities remain unclear. Objective: To chart the current evidence on racial and ethnic disparities across the diagnostic pathway for individuals with endometriosis and ascertain gaps in the current literature. Methods: A scoping review was conducted under the influence of the Joanna Briggs Institute methodological guidance. The Population, Concept and Context framework was used to develop the eligibility criteria. Studies examining racial or ethnic differences in endometriosis diagnosis, specialist referral or diagnostic investigation were included. Data were obtained on study characteristics, populations, racial and ethnic groups, healthcare settings and stages of the diagnostic pathway. Results: Three studies met the inclusion criteria, comprising one systematic review and meta-analysis and two retrospective cohort studies. All studies were conducted in the United States. Racial and ethnic differences were identified at multiple stages of the diagnostic pathway. Black women had lower odds of receiving a self-reported or surgically confirmed diagnosis compared with White women, while Black and Asian adolescents were less likely to undergo diagnostic laparoscopy. White women also had higher referral rates to pelvic pain specialists than Black, Asian and Hispanic women. However, substantial variation existed between studies in population characteristics, definitions of race and ethnicity, and stages of the diagnostic pathway examined. Conclusion: The existing evidence suggests that racial and ethnic disparities could occur at multiple stages of the endometriosis diagnostic pathway. Yet, the limited number of studies and their focus on US healthcare settings restrict the generalisability of these findings. Further research is needed, particularly within the UK and internationally, to determine whether similar disparities exist and to investigate the factors underlying these differences. Meta Tags Meta tags Endometriosis, Gynaecology, Pelvic pain. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review. Subject The topic of the resource Endometriosis Date A point or period of time associated with an event in the lifecycle of the resource 09/10 Contributor An entity responsible for making contributions to the resource Reema Ali and Rania Abdel Rahman https://urss.warwick.ac.uk/files/original/9921dc20e0fae03b77eb3801c7683028.pdf edfe268bcf6365e5111ca61098fd8655 Academic Paper An academic paper Abstract The abstract of the paper On 1 July 2025 Vietnam abolished the district tier of its local government, merged its 63 provinces into 34 and its 10,035 communes into 3,321, and replaced 63 provincial e-service portals with a single national portal. This paper asks how citizens' experience of dealing with local government changed in the first months after the reform, and who bore the cost of the transition. Because the reform applied everywhere and the 2025 round of PAPI is not yet available, the paper compares PAPI 2024 with a 2026 telephone survey drawn from PAPI's own respondent lists, under eight explicit comparison rules, and draws on a 2025 review of the e-service portals and the government's SIPAS 2025 survey. Use of the national portal rose from 13.8% to 21.8% of respondents, although part of the rise may be former users of the closed provincial portals moving across. Satisfaction with administrative procedures fell, most of all for land-use certificates, which moved from the districts to the communes, and the share of applicants who had to visit several offices roughly tripled for ordinary commune procedures. Older, poorer and rural citizens are far less likely to use the portal, and so depend most on an in-person route that became more fragmented after the reform. Official counts of online applications can overstate citizens' own use, because in some places officials have been applying and paying on citizens' behalf. Meta Tags Meta tags Economics, Public policy Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Fewer offices, one portal: citizens' experience of Vietnam's 2025 local government reform in its first months Subject The topic of the resource Public policy and government reform Date A point or period of time associated with an event in the lifecycle of the resource August to October 2026 Contributor An entity responsible for making contributions to the resource Sebastian Smith https://urss.warwick.ac.uk/files/original/258e198f9008c48af39bf45b8a164794.pdf dcb28fe88ba4735c264541905f1f0a18 Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Taylor-Couette Bioreactor Modelling for Alternative Protein Production Subject The topic of the resource Taylor-Couette Bioreactor Modelling for Alternative Protein Production https://urss.warwick.ac.uk/files/original/f268c082bdbd560e0f1832b68c03d2f6.pdf 6f68bdc0c8ad605ae1fe1cf192657636 Academic Paper An academic paper Abstract The abstract of the paper Generative AI is usually presented as an autonomous, clean technology whose costs lie in how we consume it or in its energy use. This paper will argue that it is neither autonomous nor green, but an extractive socio-technical system mapped on historical capitalist and colonial foundations, best understood and presented as digital coloniality. Drawing on court records, the Fairwork assessment of Sama, a GDPR reverse-audit conducted with African data workers and peer-reviewed scholarship, this paper will examine how algorithmic management, precarity and psychological harm discipline workers and why participation in AI supply chains, is not equivalent to development. This paper will show workers contesting this system through litigation and data access requests but finds that these tools expose its foundations without dismantling them. It will conclude that said harm must be confronted before it becomes visible. Meta Tags Meta tags artificial intelligence, digital coloniality, data colonialism, data workers, content moderation, Kenya, Nigeria, Meta, Sama, GDPR, algorithmic management, outsourcing, labour rights, technological exceptionalism, global supply chains, Global South, Capitalism, Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Who Pays for Your Prompt? AI, Digital Coloniality and the Workers Who Contest It Subject The topic of the resource AI, digital coloniality and data workers’ labour rights: how generative AI depends on outsourced, low-paid data work in Kenya and Nigeria, and how workers contest it through litigation (Motaung v. Meta/Sama) and a GDPR reverse-audit. Date A point or period of time associated with an event in the lifecycle of the resource October 2026 Contributor An entity responsible for making contributions to the resource Mary-Rose Deyanov (author); supervised by Mouzayian Khalil. https://urss.warwick.ac.uk/files/original/804425bfbda9636001e6afe5f7c28168.pdf 0c84c429d36e5cef9c9b38edc7dccc28 Academic Paper An academic paper Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Subject The topic of the resource Endometriosis Date A point or period of time associated with an event in the lifecycle of the resource 06/10 https://urss.warwick.ac.uk/files/original/b53e1c15718effcb40563d5d964acf53.pdf 117de396a62b20aa6453ca8c05500998 Academic Poster An academic poster Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Racial and ethnic disparities across the diagnostic pathway for individuals with suspected or confirmed endometriosis: A scoping review Contributor An entity responsible for making contributions to the resource Reema Ali and Rania Abdel Rahman https://urss.warwick.ac.uk/files/original/4fbf17141b7d69f738e808fd228ef686.pdf 1335429794a2b97013586f4731e16284 Academic Paper An academic paper Abstract The abstract of the paper Artificial intelligence has achieved impressive results in traditional board games such as Chess and Go, but modern board games have received less attention. These games can introduce additional challenges, such as random events and a wider range of possible moves, making them useful environments for studying AI behaviour in recreational game-playing contexts. This project examines how different AI approaches perform as they move from a small traditional game to the modern board game Azul, aiming to better understand their behaviours, strengths and limitations. This project combines background research with practical experimentation. Existing literature on game-playing AI informed the development of three Python agents: a search-based approach using Minimax, a simulation-based approach using Monte Carlo Tree Search (MCTS), and a learning-based approach using Tabular Q-Learning (TabQL). Each approach was first implemented for tic-tac-toe and then adapted to the complete two-player game of Azul. The agents were compared through head-to-head simulated matches. In tic-tac-toe matches, every game ended in a draw. In Azul, MCTS won more games than Minimax, while both won every reported match against TabQL. These results suggest that the approaches performed differently under the configurations tested, but the limited number of matches prevents broader conclusions about playing strength. TabQL’s weaker Azul results may reflect the difficulty of learning in a game with many possible states and moves. This research provides a foundation for applying AI techniques to a wider range of modern board games. Future work could investigate other reinforcement-learning methods, explore hybrid approaches, human-interaction studies, and applications in game design and decision-making contexts. Meta Tags Meta tags AI, Artificial Intelligence, Games, Game-Playing, Python, RL Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource A Comparative Study Of Game-Playing AI From Traditional Games To Modern Games Subject The topic of the resource Artificial Intelligence Contributor An entity responsible for making contributions to the resource Mridul Dhall https://urss.warwick.ac.uk/files/original/1869715fe9263f22c6dcdc30f90cc866.pdf f306a4e58fabd21cbc07ff4829d7853f Academic Paper An academic paper Abstract The abstract of the paper In an age of mass political apathy and democratic backsliding, we need a better understanding of what Democracy should be doing for the citizen. This understanding can be used as an ideal which citizens, representatives, and policy makers can use when reconstructing our democracies. This paper works to develop that understanding of what good democracy realises for its citizens. It argues that democracy facilitates authentic authorship, a concept which can assimilate the other major understandings within democratic theory. Meta Tags Meta tags Democracy, Democratic Theory, Existentialism, Sartre, Authorship, Authentic Authorship, Freedom, Politics, Political Theory, Individual, First-Personal. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource But What Does Democracy Do for Me? Subject The topic of the resource Democratic Theory Date A point or period of time associated with an event in the lifecycle of the resource 09/10/2026 Contributor An entity responsible for making contributions to the resource Lorenzo Serini, Fabienne Peter