Portrait psychologique et social de mères indiennes réfugiées : les enjeux liés à l’attachement de l’enfant
Bibliographic record
Abstract
L’objectif de cet article utilisant une lunette qualitative à partir de mesures quantitatives est de dresser le portrait de quatre mères Indiennes réfugiées vivant un stress migratoire élevé et de présenter les conséquences liées à l’attachement de l’enfant. Les résultats indiquent des niveaux cliniques d’anxiété et de dépression ainsi qu’un soutien social variable selon la source de soutien. Chez l’enfant, la sécurité d’attachement est faible, il y a absence de comportements évitants et la prévalence de comportements ambivalents et désorganisés est élevée. Les résultats suggèrent que des approches qui misent sur un soutien de la dyade mère-enfant pourraient être appropriées pour ces femmes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".