Bibliographic record
Abstract
Index des comptes rendusNote : le nom des auteurs des comptes rendus apparaît entre parenthèses.750 livres pour les parents et les enfants / L. Jolin et al. (Ginette Guindon) 39, n° 4 (1993), p. 234-235 A À Fécoute de Poeil : les collections iconographiques et les bibliothèques (Jean-Rémi Brault) 35, n° 4 (1989), p. 193-194 À pleines pages : histoire du livre / B. Blasselle (Jean-Rémi Brault) 43, n° 4 (1997), p. 212-213 Abrégé de la classification décimale de Dewey (nouvell 6 éd.à partir de la première version intégrale française et de la XIX e éd.intégrale en langue anglaise) / A. Béthery (Rosaire Pelletier) 29, n° 4 (1983), p. 165-166 Allard, Yvon.Paralittérature 1 (Janina-Klara Szpakowska) 22, n° 1 (1976), p. 45-47 Amar, Muriel.Fondements théoriques de Tindexation : une approche linguistique (Rénald Buteau) 48, n°2 (2002), p. 58-59 American Library Association.Règles de catalogage angloaméricaines (2 e éd.) (Pierre Manseau) 26, n° 4 (1980), p. 218-220 Amoikon, Michel K. Structures, organisation et animation culturelle dans les bibliothèques en Côte d'Ivoire (Jean de Chantai) 22, n° 4 (1976), p. 199-203 L'archivistique : son histoire, ses acteurs depuis
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 | 0.003 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.048 | 0.052 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.276 | 0.224 |
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".