De l’incertitude de la naissance au risque obstetrical : les enjeux d’une définition
Bibliographic record
Abstract
La réforme de la périnatalité française, mise en place à la fin des années 1990, repose sur une catégorisation du risque obstétrical (bas, moyen, haut). Selon le niveau de risque estimé, la femme enceinte doit être adressée à une maternité de niveau I, II ou III. À partir d’une enquête effectuée par des observations et des entretiens auprès d’obstétriciens et de sages-femmes, il s’agit, dans cet article, de montrer que la définition de ces catégories du risque est en elle-même un enjeu. En effet, leur contestation ou leur acceptation traduisent deux conceptions sensiblement différentes : l’une induit une accentuation de l’hypermédicalisation de l’accouchement, l’autre tend vers la « dé-technicisation » de la naissance et l’ouverture de Maisons de Naissance, encore à l’état de projet en France.
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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.004 | 0.030 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.002 | 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".