Male behaviours towards unplanned pregnancy: experiences of Brazilian low‐income women
Bibliographic record
Abstract
BACKGROUND: Lone women are responsible for a quarter of Brazilian families. The unplanned pregnancy, a strong reality for many young poor women in this country, provokes a strong impact on physical, emotional, socio-economic and family dimensions. RESEARCH QUESTIONS: Do personal characteristics determine the behaviours of males towards unplanned pregnancy? Do the associations between the couple's bond and male behaviours influence attitudes towards unplanned pregnancy? METHODS: This descriptive study was carried out in a low-income community in the City of São Paulo, Brazil. A structured form was composed to obtain data from 100 women who have lived out the unplanned pregnancy experience. FINDINGS: Personal characteristics do not appear to determine male behaviours towards unplanned pregnancy. There was a statistically significant difference among men in different types of bonding relationship (married, cohabiting, dating, without bonding) with regard to the following behaviours: attention given during pregnancy; changes to the type of bond between partners; civil registration of the child by the father; financial support provided by the father and contact with the child. CONCLUSIONS: Bonding and correlated topics are essential in sexual and reproductive healthcare education and promotion. LIMITATIONS: Population sampling was statistically calculated based on community demographic data and the conclusions refer to the estimated parameters of men's behaviours according to women's experiences.
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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".