Bibliographic record
Abstract
Voici le nouveau numéro de PISTES pour cette année 2010 ; c'est un troisième numéro pour cette année spéciale.Elle l'est en effet, car je quitte mon rôle d'éditrice pour le transmettre à Élise Ledoux et Denys Denis, deux jeunes collègues dynamiques et pleins de nouvelles idées.Je continuerai cependant à participer activement au comité d'édition de la revue.Je suis très fière du travail accompli.La revue est bien vivante et elle bénéficiera d'un nouveau regain d'énergie avec de nouvelles personnes à ses commandes.Une demande de subvention a été soumise au Fonds québécois de la recherche sur la société et la culture (FQRSC).Si nous obtenons cette subvention de 27 000 $ par année pour une période de trois ans, il sera possible aux nouveaux éditeurs de développer un peu plus la revue et aussi de traduire en anglais les articles.
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 | 0.002 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.208 | 0.155 |
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".