Do the Challenges of LGBTQ Asylum Applicants Under Dublin Register With the European Court of Human Rights?
Bibliographic record
Abstract
Evidence suggests that Europe’s Dublin Regulation is increasing the precarity of lesbian, gay, bisexual, transgender, and queer (LGBTQ) asylum applicants. Dublin allocates responsibility for examining asylum claims between EU Member States. The European Court of Human Rights (ECtHR) guides the obligations of States under Dublin. Increasingly, the ECtHR draws on the concept of vulnerability to frame the experiences of asylum seekers. Vulnerability purportedly functions for the ECtHR as a lens through which the harm experienced by asylum applicants is magnified, enabling it to better recognize human rights violations. Nevertheless, the ECtHR’s vulnerability lens may be distorted by hetero- and cisgender normativity. We explore some implications of the ECtHR’s assumptions for how the vulnerabilities of LGBTQ asylum seekers in Europe under Dublin register with the ECtHR. We suggest that the combined frameworks of intersectional invisibility and layers of vulnerability can improve the ECtHR’s capacity to understand how LGBTQ asylum applicants may be particularly vulnerable under Dublin.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.025 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.002 | 0.016 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".