Table des matières
Bibliographic record
Abstract
introduction Le modèle de don altruiste de Titmuss Le don de sang au Québec Une approche multidisciplinaire pour l' étude des motivations et de la pratique des donneurs de sang La présentation des projets de recherche Le don de sang chez les communautés ethnoculturelles du Québec (2009-2012) Jeunes, altruisme et don de sang : une recherche qualitative auprès de jeunes donneurs et de jeunes militants du Québec (2010-2011) Famille, altruisme et don de sang (2010-2013) La géographie du don de sang au Québec (2008-2011) Le don de sang selon les milieux de vie (2010-2012) Les donneurs peuvent-ils définir leurs motivations ?La présentation des chapitres Chapitre 1 don du sang eT représenTaTions symboliques Une approche anthropologique des représentations du sang Le sang : au paradoxe de la vie et de la mort Le sang : un symbole de l' ordre des sociétés Le sang et la transfusion sanguine : l' enjeu des contacts entre les sangs
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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.613 | 0.186 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".