Factors associated with the health and reproductive autonomy of Quilombola women in Brazil
Bibliographic record
Abstract
Objective: To verify the association between reproductive autonomy and sociodemographic, sexual, and reproductive characteristics in Quilombola women (a term indicating the origin of politically organized concentrations of Afro-descendants who emancipated themselves from slavery). Methods: Cross-sectional and analytical study with 160 women from Quilombola communities in the southwest of Bahia, Brazil. Data were collected using the Reproductive Autonomy Scale and the questionnaire from the National Health Survey (adapted). Results: Out of the 160 participating women, 91.9% declared themselves as black, one out of every three were aged ≤ 23 years, 53.8% were married or had a partner, 38.8% had studied for ≤ 4 years, over half (58.1%) were unemployed, only 32.4% had a monthly income > R$ 430 (80 US dollars), 52.5% had their first menstruation at the age of 12, 70.7% had not accessed family planning services in the last 12 months, and over half used some method to avoid pregnancy (59.0%). The women had a high level of reproductive autonomy, especially in the "Decision-making" and "Freedom from coercion" subscales with a score of 2.53 and 3.40, respectively. A significant association (p<0.05) was found between the "Total reproductive autonomy" score and marital status, indicating that single or unpartnered women had higher autonomy compared to married or partnered women. Conclusion: The association of social determinants of health such as marital status, education, and age impacts women's reproductive choices, implying risks for sexual and reproductive health. The intergenerational reproductive autonomy of Quilombola women is associated with sociodemographic and reproductive factors.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".