Dignité et indignité de l’hébergement institutionnel
Bibliographic record
Abstract
Après avoir intégré le droit positif des États, la dignité humaine occupe désormais une place centrale dans les débats éthiques touchant la santé et le corps. Elle se pose avec plus d’intensité encore lorsqu’il est question des personnes âgées en perte d’autonomie vivant en hébergement de longue durée. Bien qu’elle soit présente dans de nombreux textes de lois et codes de déontologie, la notion de dignité ne fait cependant pas consensus. Le sens qui lui est attribué n’est jamais entièrement donné et définitif : il dépend du contexte dans lequel l’enjeu de dignité est posé. À partir de contributions théoriques et empiriques, les auteurs tentent ici de cerner le sens que l’on donne à la dignité dans les milieux d’hébergement pour personnes âgées.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.079 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".