Trans Rights Are Not Just Human Rights: Legal Strategies for Trans Justice
Bibliographic record
Abstract
Abstract Human rights instruments are but one of many legal advocacy tools used by trans people. Recent legal scholarship emphasizes that human rights laws are not sufficient to address legal challenges facing trans people, particularly intersectional and systemic barriers. This article looks to Canadian trans case law outside of human rights law to reveal the many instances in which trans people’s fight for legal recognition and redress occur outside of the human rights arena. It focuses on trans case law in three areas: family law, the use of name and gender in court, and access to social benefits. Canadian trans jurisprudence illustrates that not only are trans legal strategies outside of human rights plentiful and effective, they are also imperative. An agile and pragmatic approach to trans rights is necessary, particularly when minority rights are under threat, and for trans people on the margins of trans law reforms.
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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 | 0.021 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.029 | 0.075 |
| Scholarly communication | 0.019 | 0.016 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.009 | 0.010 |
| Insufficient payload (model declined to judge) | 0.012 | 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".