Inégalités sociales de santé : quels impacts sur l’accès aux soins de prévention ?
Bibliographic record
Abstract
En abordant la réduction des inégalités sociales et territoriales de santé sous l’angle exclusif de l’amélioration de l’accès aux soins des populations les plus « vulnérables », les politiques et programmes de santé considèrent une seule dimension de ces inégalités, alors qu’elles traversent l’ensemble de la hiérarchie sociale. Or, si les disparités d’accès aux soins préventifs ne constituent pas le déterminant principal des inégalités sociales de santé, dans un modèle de soins français essentiellement curatif, elles ne sont pas négligeables dans leur production. Cependant, les mesures visant à élargir l’accès aux soins de prévention ne sont pas les seules à mettre en oeuvre pour réduire les inégalités sociales de santé, qui traversent l’ensemble de la hiérarchie sociale.
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.
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 | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".