Social and demographic characteristics and perinatal risks for highly deprived mothers (Fren)
Bibliographic record
Abstract
Objective. To assess the frequency of deprivation in pregnant women and estimate the associated medical risks. Material and methods. A retrospective study of the hospital’ s computerised data (6149 women) and two prospective studies with health staff (n=534) and social workers (n=85) in two maternity hospitals. Results. In the retrospective study, 17.5% of mothers were deprived. Deprivation was associated both with more difficulties during pregnancy and the perinatal period and with longer hospital stays. The prospective studies confirmed the prevalence of deprivation and gave a more detailed idea of the associated social and demographic characteristics. Deprivation was related with a combination of risk factors with a particularly important influence of economic risk. A quarter of deprived mothers had unwanted pregnancies and according to the social workers approximately 10% of them were not in a position to take care of their baby. Conclusion. This study emphasizes the importance of deprivation as a perinatal medical risk factor. Screening should take place in early pregnancy in order to find the best way to help such families.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".