Évaluer les besoins des femmes enceintes : une étude-pilote du dispositif Ariane
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
INTRODUCTION: The organization of perinatal prevention in France is based on a system of universalism. Maternal and child protection services are thus open to all, at the risk of excluding people who do not know where or how to find them. Targeted preventive corrective measures, based on risk factors, correct some of this inequity but create other negative effects. PURPOSE OF RESEARCH: This article presents an innovative social protocol in public health: the Ariane systematic prenatal contact. It is based on the principle of proportionate universalism. Ariane consists of a text message and a phone call at the beginning of pregnancy. Aimed at all pregnant women, it allows information to be transmitted orally on public systems of prevention and support for parents. It also makes it possible to assess the needs of families, along eight axes. METHOD: This article presents the results of the pilot study of this system, conducted in Moselle. In total, 14 midwiwes ant 11 parturients who were contacted during their pregnancy participated in post-project interviews. RESULTS: The results show a very high level of acceptability of the calls by all parties. According to the midwives, Ariane has made it possible to increase the relevance of the identification, making it possible to move from a prevention logic based on criteria to a prevention logic based on the needs of families. The contact was easy, according to both the women and the clinicians. CONCLUSION: Our results show that the Ariane protocol make possible to establish a relationship of trust between the families and the services. Implications for outreach policies are also presented in this article.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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 it