Bibliographic record
Abstract
Un mot de la rdactriceJe suis heureuse de prsenter ce numro spcial pour lequel Robert Shepherd et Kathryn Graham sont les rdacteurs invits.Ces derniers ont rassembl des contributions importantes portant notamment sur un cadre juridique et pis tmologique pour l' valuation dans un contexte autochtone, de mme que des exemples de la faon dont cela se traduit en pratique.Nous avons encore beaucoup apprendre et tablir dans ce domaine de l' valuation, et Shepherd et Graham articulent trs clairement les gestes qui doivent tre poss pour faire progresser notre pratique et nos connaissances cet gard.Je remercie du fond du coeur les rdacteurs invits, les auteurs et les valuateurs qui ont rendu possible ce numro et j' espre que nos lecteurs et lectrices se trouveront enrichis par les messages importants qui y sont communiqus.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".