L' IVG chez les patientes psychotiques (épidémiologie, éthique et prévention)
Bibliographic record
Abstract
Suite à la rencontre avec une femme suivie pour psychose, l'auteur se penche sur la question de l'interruption volontaire de grossesse au sein de cette population. Il nous présente une étude personnelle de 20 cas qui cherche à établir dans quelle mesure ces patientes ont recours à l'IVG et bénéficient d'une couverture contraceptive. Il compare les chiffres obtenus à d'autres études similaires, ainsi qu'à la population générale. L'auteur aborde ensuite les questions législatives et éthiques qui entourent la procréation des personnes souffrant de troubles psychiatriques. Il cherche ainsi à montrer que, malgré les risques liés à la maternité des femmes psychotiques, l'IVG n'est pas un acte anodin, et qu'il peut parfois être prévenu par le dialogue et la mise en place d'une contraception.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".