Human Rights, Trans Rights, Prisoners’ Rights: An International Comparison
Bibliographic record
Abstract
In this Note, I conduct an international comparison of the state of trans prisoners’ rights to explore how different national legal contexts impact the likelihood of achieving further liberation through appeals to human rights ideals. I examine the United States, Canada, the United Kingdom, Australia, India, Argentina, and Costa Rica and show the degree to which a human rights framework has been successful thus far in advancing trans prisoners’ rights. My analysis also indicates that the degree to which a human rights framework is likely to be successful in the future varies greatly between countries. In countries that are hesitant to adopt a legally internationalist orientation, a human rights framework is unlikely to see much success. Additionally, even countries with robust human rights traditions may be unlikely to apply that framework if the needs and identities of imprisoned trans people are not sufficiently visible in the national public consciousness. However, in countries with significant human rights or international law traditions, as well as a high degree of trans visibility, appeals to a human rights framework will likely lead to success in advocating for further protections for trans prisoners’ rights.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".