Bibliographic record
Abstract
This article explores the role of truth within queer migration. By analysing a host of cultural production – including the verbatim theatre performance Rights of Passage by Claire Summerskill, the short film Crypsis by Christopher McGill, the ethnofictional film Samira by Nicola Mai, and the film The Amazing Truth About Queen Raquela by Olaf de Fleur Johannesson – I will challenge the necessity of attempting to discover the truth of queer migrants as sexual and gendered subjects, particularly as related to asylum claims. Yet if questions are raised about the importance of truth, this also demands analysing the role of faking sexuality and gender, and ‘fake’ queer migrants more broadly, referring to those who allegedly fabricate their sexuality and gender to claim asylum. Instead of suggesting faking implies the possibility of undeservingness, I use faking as a theoretical tool to understand the demands of truth, and how faking may become means to subvert the grounds of who is considered a deserving queer migrant seeking asylum. By disrupting the binary between truths and fakes, the very notion of there being truths of queer migrants (and the subject more broadly) will be questioned.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.032 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".