Bibliographic record
Abstract
Après 15 ans de financement des services communautaires par le programme de recherche communautaire sur le VIH/sida des Instituts de recherche en santé du Canada (IRSC), il est important de faire le point sur la recherche communautaire et sur sa contribution dans la lutte contre le VIH/sida. Dans cet ouvrage, chercheurs, professionnels de la santé, militants, personnes vivant avec le VIH, personnes autochtones et étudiants situent leur conception de la recherche communautaire sur le VIH/sida et en expliquent les fondements, chacun soulevant des enjeux épistémologiques, théoriques, méthodologiques et opérationnels. Rédigé dans une perspective réflexive et critique, l’ouvrage contribue à dégager la richesse et la singularité de ce type de recherche de manière à lui donner sa juste place dans les champs scientifique et social. Il s’adresse aux personnes engagées dans la lutte contre le VIH/sida ainsi qu’aux chercheurs et aux étudiants qui se questionnent sur la recherche en partenariat avec les communautés dans un contexte où, plus que jamais, la mobilisation communautaire est au cœur des solutions visant à améliorer la santé des populations.
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 | 0.033 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.015 | 0.015 |
| Scholarly communication | 0.013 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.014 | 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".