Bibliographic record
Abstract
Comptes rendus : \nCamille Lapointe, Allison Bain et Réginald Auger, Le site archéologique \ndu palais de l’intendant à Québec : Plus de 35 années de découvertes / \nChloe Lee-Hone ; Leila Inksetter, Initiatives et adaptations algonquines au xixe siècle / \nArnaud Simard-Émond ; Anny Morissette, La lutte se poursuivit en cachette : Le pouvoir des chefs et des leaders de la bande algonquine de Kitigan Zibi / Arnaud Simard-Émond ; \nDaniel Clément, Les récits de notre terre — Les Algonquins / Thomas Lecomte ; \nCharmain Levy et Andrea Martinez, Genre, féminismes et développement. \nUne trilogie en construction / Ninon Capon ; Audrey Laurin-Lamothe, Financiarisation et élite économique au Québec / Yannick Sanschagrin ; Lise Gremion, Serge Ramel, Valérie Angelucci et Jean-Claude Kalubi (éd.), Vers une école inclusive : Regards croisés sur les défis actuels / \nMarianne Lezeau
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.731 | 0.615 |
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; the direct Gemma label and the distilled Codex classifier 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".