Espérance de vie en santé : apport conceptuel et pratique de la Classification internationale des déficiences, incapacités, handicaps (CIDIH)
Bibliographic record
Abstract
Le calcul de l'espérance de vie en santé s'appuie sur les mesures de la mortalité et sur celles de l'incapacité. La notion d'incapacité est liée aux définitions modernes de la santé, c'est-à-dire de l'adaptation de la personne ou du groupe à l'environnement. La Classification internationale des déficiences, incapacités, handicaps (CIDIH) permet l'analyse globale des incapacités et des handicaps. Il est possible d'envisager ainsi des définitions communes de la santé et de l'incapacité pour la mise au point d'instruments adaptés aux calculs de l'espérance de vie sans incapacité ou espérance de vie en santé. Il est indispensable que ce travail conceptuel soit effectué au niveau international avant l'établissement de comparaisons entre les données chiffrées d'espérance de vie en santé. De telles comparaisons ne sont licites que si les concepts et les définitions de base sont identiques.
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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 | 0.030 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.014 | 0.016 |
| Science and technology studies | 0.002 | 0.014 |
| Scholarly communication | 0.010 | 0.011 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".