Sexual and gender minorities rights in Latin America and the Caribbean: a multi-country evaluation
Bibliographic record
Abstract
BACKGROUND: Although the extent of legal inequities experienced by sexual and gender minorities (SGM) has declined during recent decades, this population still enjoys fewer legal protections and benefits than the non-gender-variant, heterosexual population. Herein we analyze the current scenario of SGM rights in Latin America and the Caribbean (LAC). METHODS: Policy documents and governmental strategies addressing SGM rights were analyzed within a timeline framework by three major LAC sub-regions: the Caribbean, Mesoamerica and South America. RESULTS: Our search identified 88 eligible documents addressing the following categories: (1) legal protections towards same-sex couples (decriminalization of same-sex acts among consenting adults, legal recognition of same-sex unions, same-sex marriage, adoption by same-sex couples), and (2) anti-discrimination laws (SGM allowed to serve openly in the military and anti-discrimination laws related to sexual orientation, gender identity and/or expression). The majority of Caribbean countries prohibit same-sex acts between consenting adults, while in Mesoamerica same-sex couples do not have equal marriage rights and are not allowed to adopt as a couple. In the Caribbean and Mesoamerica transgender people lack proper legal protection. Legislation to protect SGM rights in South America is the most inclusive and progressive in LAC. Several countries recognize same-sex marriage and the right of transgender people to legally change their name and gender. The majority of South American countries have some kind of anti-discrimination law, but no effective mechanisms to enforce these laws. In spite of those progresses, the LAC region registers the highest rate of violence and hate crimes against SGM in the world. CONCLUSION: In the Caribbean and Mesoamerica the overall discriminatory legislation exacerbates violence against SGM within a social and cultural context of strong sexist, gender stereotypes and widespread violence. This scenario is driving hundreds of SGM to leave their home countries. In spite of progressive legislations, several South American countries are currently controlled either by highly conservative leaders (e.g. Brazil and Chile) or by repressive dictators (Venezuela). The near future of the LAC region is unknown, but if such trends continue, severe human rights problems, including setbacks in SGM legal protections, are likely.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.035 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 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".