Rights in Transition: Making Legal Recognition for Transgender People a Global Priority
Bibliographic record
Abstract
The process is as universal as it gets: when a baby is born, a doctor, parent, or birth attendant announces the arrival of a "girl" or "boy."That split-second assignment dictates multiple aspects of our lives.It is also something that most of us never question.But some people do.Their gender evolves differently from their girl/boy birth assignment and might not fit rigid traditional notions of female or male.Gender development should have no bearing on whether someone can enjoy fundamental rights, like the ability to be recognized by their government or to access health care, education, or employment.But for transgender people, it does-to a humiliating, violent, and sometimes lethal degree.The Trans Murder Monitoring Project, an initiative that collects and analyzes reports of transgender homicides worldwide, recorded 1,731 murders of transgender people globally between 2007 and 2014.Many were of a shockingly brutal nature, sometimes involving torture and mutilation.Outright violence is not the only threat to the lives of transgender people.They are as much as 50 times more likely to acquire HIV than the population as a whole, in part because stigma and discrimination create barriers to accessing health services.Studies in the United States, Canada, and Europe have found high rates of suicide attempts among transgender people, a response to systematic marginalization and humiliation.Several countries, including Malaysia, Kuwait, and Nigeria, enforce laws that prohibit "posing" as the opposite sex-outlawing transgender people's very existence.In scores of other countries, transgender people are arrested under laws that criminalize same-sex conduct.This data only gives a glimpse of the horrific variants of violence and discrimination transgender people face.Absent legal recognition in the gender with which
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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 | 0.018 | 0.044 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.024 |
| Scholarly communication | 0.015 | 0.033 |
| Open science | 0.004 | 0.029 |
| Research integrity | 0.017 | 0.023 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".