Bibliographic record
Abstract
L’anthropologie de la santé a connu une évolution spectaculaire au cours des dernières décennies. Elle doit toutefois composer aujourd’hui avec les contributions de plusieurs autres disciplines des sciences sociales et humaines dans le champ d’étude des dimensions sociales, politiques et culturelles de la santé et de la maladie. Pour conserver sa crédibilité comme “science sociale” et pour faire face à l’émergence de nouveaux objets de recherche, elle devra relever plusieurs défis, tant au plan de ses outils conceptuels, mais aussi et surtout au plan de sa maîtrise des méthodologies qualitatives et quantitatives. Mais cela, sans mettre de côté son profond souci pour une réflexion critique sur les politiques de santé et pour une phénoménologie de la souffrance.
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 | 0.036 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.008 | 0.067 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".