UNE STRATÉGIE ORIGINALE DE GESTION DES RISQUES : LES INCITATIFS FINANCIERS CONDITIONNELS SONT-ILS UNE AVENUE POUR LUTTER CONTRE LES MALADIES CHRONIQUES ?
Bibliographic record
Abstract
Afin de contribuer à la quête d’outils de gestion des risques pour faire face au fléau des maladies chroniques, la présente étude propose une exploration des programmes d’incitatifs financiers conditionnels. Ces programmes s’adressent généralement à des populations défavorisées au plan socioéconomique, à qui une somme d’argent est remise en contrepartie de certains comportements adoptés. Dans un exercice de transposition des principes sous-jacents à ces programmes au contexte de la lutte contre les maladies chroniques, nous discutons des effets potentiels qui pourraient en découler, tels que la stigmatisation des personnes défavorisées.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".