Périnatalités, accouchements et maternités dans <i>Bercer l’enfant manquant</i> : mise en récit et en dialogue des devenirs-mères par le motif de l’enfant manquant, incréé, non né
Bibliographic record
Abstract
Comment incarner les devenirs-mères dans la pluralité et la complexité de ce que cela engage? Quels sont les statuts et états des paroles et des corps qui accompagnent les contingences des devenirs-mères? Quelles en sont les traversées lors de la périnatalité, l’accouchement et la maternité? Autant de questions posées par Valérie Gaudissart, metteure en scène de la compagnie Rêver Tout Haut, dans sa pièce Bercer l’enfant manquant (2021), créée à partir de témoignages de femmes s’exprimant librement sur ce qui est d’ordinaire tu ou nié, comme l’avortement, l’accouchement sous X, la dépression post-partum, la fausse couche, la césarienne, la procréation médicalement assistée ou encore l’adoption, ici traités sous le prisme de l’enfant manquant, idéalisé, non né, incréé, et qu’il s’agit dans cette contribution d’examiner.
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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 | 0.004 | 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 | 0.011 | 0.017 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".