Bibliographic record
Abstract
Tours et détours en bibliothèque Carnet de voyage littérature & photographie Une journée à la bibliothèque Sainte-Barbe Marguerite (Yourcenar) Canaan en vue : Prolégomènes à une tentative d'approche de la BU Paris 7-Diderot Le pas de l'autre Sortir des forêts L'impasse des verbeuses ou la rivière enfouie À Paris 8 Saint-Denis Lueurs sur l'incendie méconnu de la médiathèque de Lorient Elle est ici chez elle (La bibliothèque de la Roseraie à Angers) De haut en bas Nettoyer une phrase de Marguerite Duras Lire et lire, Écrire le lire, et lire ici-même Au hasard l'Alcazar Larguer les amarres !Trafalgar à Austerlitz J'aime / J'aime pas : Carnet de route vers la médiathèque d'Alfortville À portée de main Trois petits tours avec L'Albatros De fil en aiguille Trombe Préface Bibliographie des auteurs
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.154 | 0.077 |
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".