Hormonização para pessoas trans em Divinópolis-MG, Brasil: uma descrição populacional para reconhecimento de demandas de saúde
Bibliographic record
Abstract
The present study aimed to evaluate the adequacy of hormoneization in the transgender population of Divinópolis-MG according to national and international protocols, as well as associated factors. It is a quantitative cross-sectional investigation with a non-probabilistic sample listed using the virtual snowball technique. Participants answered an online questionnaire on the Google Forms platform. Among the 48 employees, 77% (n = 37) declared themselves to be transgender binary. Thirty participants reported hormoneization, in 17 of them it was considered inadequate (58.8%). The following variables showed the greatest disagreement with the recommended protocols: non-compliance or dissatisfaction with medical follow-up (p < 0.05) and exclusive use of the SUS for health care (p < 0.05). A quarter of the participants stated disrespect for the rectified social or civil name in the places frequented, which was more frequent among non-binary people (p = 0.03). There has been a high incidence of reports of violence and unprotected sexual intercourse in the last year.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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; both teacher heads agree on what is shown here.
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".