Éthique de la recherche et responsabilité sociale du chercheur
Bibliographic record
Abstract
Les enjeux de l’éthique de la recherche occupent une place de plus en plus importante dans la gestion de la recherche tant sur le plan international qu’à l’échelle nationale. Au Canada et au Québec, ces préoccupations ont donné lieu à plusieurs documents récents provenant d’instances régulatrices gouvernementales et paragouvernementales. Celles-ci privilégient des approches diverses : agrément fondé sur la surveillance des structures institutionnelles de l’éthique de la recherche, encadrement législatif de l’éthique ou énoncé de politique fondé sur des principes d’autorégulation des chercheurs, tout en maintenant un cadre éthique basé sur la délibération des comités d’éthique de la recherche. Ces trois principales approches sont présentées après les avoir situées dans les courants éthiques contemporains.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.368 | 0.813 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.027 | 0.159 |
| Insufficient payload (model declined to judge) | 0.007 | 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; both teacher heads 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".