Towards Full Citizenship: Correlates of Engagement with the Gender Identity Law among Transwomen in Argentina
Bibliographic record
Abstract
INTRODUCTION: In May 2012, Argentina passed its "Gender Identity" Law, which aimed to address the legal invisibility, discrimination and marginalization that transgender individuals have historically faced. The aim of this study was to explore factors associated with engagement with the Gender Identity Law among transwomen living in Argentina. METHODS: Data were derived from a 2013 nationwide, cross-sectional study involving transwomen in Argentina. Using multivariate logistic regression, we assessed the prevalence and factors associated with acquiring a gender-congruent identity card within the first 18 months of enactment of the Gender Identity Law. RESULTS: Among 452 transwomen, 260 (57.5%) reported that they had obtained a new gender-congruent identity card. In multivariate analysis, factors positively associated with acquiring a new ID were: previously experiencing discrimination by healthcare workers (adjusted odd ratio [aOR] = 2.01, 95% CI: 1.27-3.20); having engaged in transition procedures (aOR = 3.06, 95% CI: 1.58-5.93); and having a job other than sex work (aOR = 1.81, 95% CI: 1.06-3.10). Foreign born transwomen were less likely to have obtained a new ID (aOR = 0.14, 95% CI: 0.06-0.33). CONCLUSIONS: More than half of transwomen in our sample acquired a new gender-congruent ID within the first 18 months of enactment of the Gender Identity Law. However, access to and uptake of this right has been heterogeneous. In particular, our findings suggest that the most empowered transwomen may have been among the first to take advantage of this right. Although educational level, housing conditions, HIV status and sex work were not associated with the outcome, foreign-born status was a strong negative correlate of new ID acquisition. Therefore, additional efforts should be made in order to ensure that benefits of this founding policy reach all transwomen in Argentina.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".