Learning to be LGBT: Sexual Orientation Refugees and Linguistic Inequality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper explores how adjudicators in the Canadian refugee determination system assess sexual orientation refugee claims. I outline how predetermined social knowledge in adjudicators' terms and questions about a refugee claimant’s sexual identity operate as a cultural formation through which particular Western normative arrangements of sexual practices and identities are privileged as social facts. These assumed 'social facts' reveal adjudicators’ application of understandings about ‘authentic’ sexual identities derived from guidelines and/or 'common-sense' assumptions reflecting a privileged set of cultural, gendered, raced and classed experiences. The imposition of this arrangement re-inscribes a homonationalist mode of gatekeeping that may have profound consequences for a refugee claimant whose answers do not satisfy the adjudicator's expectations.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.148 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it