Du bon usage des commissions d’enquête et des rapports qui en émanent
Bibliographic record
Abstract
Les rapports Gomery et Bastarache ont évité le piège qui consiste à penser que l’on peut régler de manière durable les problèmes éthiques auxquels font face nos institutions publiques en énonçant des codes de déontologie. Ils ont plutôt ciblé les causes profondes de la tendance que ces institutions présentent à donner lieu à des comportements moralement problématiques. Or, nous avons tendance à ne retenir que la partie de ces rapports qui statue sur les événements précis qui ont donné lieu à la création de commissions d’enquête. Cela est sans doute dû à la nature irréductiblement narrative de notre entendement éthique. Mais l’individualisation de l’éthique à laquelle cette manière de concevoir l’éthique donne lieu risque de nous rendre insensibles aux leçons les plus porteuses de ces deux rapports.
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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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 teacher head, 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".