Préoccupations des femmes enceintes à l’égard de l’alimentation, du poids et de la silhouette et conduites alimentaires inadéquates : une étude exploratoire
Bibliographic record
Abstract
BUT : Évaluer les attitudes et conduites alimentaires inadéquates (ACAI) des femmes enceintes, identifier la prévalence de trouble des conduites alimentaires (TCA) et vérifier si la présence d’ACAI varie en fonction de leur histoire de grossesse et de vie. MÉTHODE : Le Eating Disorder Examination Questionnaire (EDE-Q5) et un questionnaire sociodémographique ont été administrés à 50 participantes. RÉSULTATS : Aucun TCA n’a été identifié chez les femmes interrogées. Certaines rapportent des ACAI s’apparentant à un TCA. Des éléments de l’histoire de grossesse et de vie y sont associés. CONCLUSION : Des recommandations sont émises pour favoriser un dépistage précoce d’ACAI et de TCA durant la grossesse.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".