Bibliographic record
Abstract
Remarque liminaire : le prsent article tmoigne de la gense du projet documentaire commun aux bibliothques de la Fondation PSL et de son tat au dbut de l'anne 2012. Si le Liberlabo n'est plus d'actualit dans tous ses aspects, il a paru toutefois intressant de partager avec les publics, tudiants, chercheurs et enseignants-chercheurs, ces rflexions sur l'outil en pleine transformation qu'est la bibliothque de recherche. 2 voqu pour la premire fois la confrence de presse inaugurale du campus PSL, le 16 avril 2010, le projet d'un Liberlabo rpond alors une commande expresse dans le cadre du Plan Campus : imaginer, tout en promouvant la coopration documentaire souhaite par les cinq chefs d'tablissements concerns 1 , les services que pourrait offrir une bibliothque de recherche, riche de nombreux fonds plurisculaires, l'horizon 2020. Sous ce vocable nouveau, Liberlabo
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".