Variables associées aux préférences relatives au sexe des enfants chez des femmes enceintes primipares
Bibliographic record
Abstract
Les données des deux dernières décennies montrent que les femmes enceintes attendant un premier enfant désirent plus souvent une fille qu’un garçon. L’objectif de cette étude est de déterminer les variables associées aux préférences relatives au sexe des enfants chez des femmes enceintes primipares dont l’âge varie entre 18 et 49 ans. Les analyses portent sur 226 femmes qui ont déclaré une préférence, soit pour une fille (n = 88), soit pour un garçon (n = 49), ou qui n’ont déclaré aucune préférence (n = 89). Des variables socio-démographiques, développementales et psychologiques ont été comparées entre les trois groupes de femmes. Les résultats ne révèlent aucune différence au plan statistique pour les variables étudiées. Certaines explications de ces résultats sont avancées.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".