Eugène Morel : l’odyssée d’un polygraphe au pays de la classification décimale
Bibliographic record
Abstract
Pourquoi Eugène Morel, bibliothécaire « à la Nationale », choisit-il d’introduire de manière précoce, avant la Première Guerre mondiale, la classification Dewey dans la bibliothèque populaire de Levallois-Perret ? Cette expérimentation visionnaire, peu encouragée par les pionniers de la classification universelle, trouve ses racines dans la propre histoire de Morel, artiste, écrivain expérimentant une forme de polygraphie, entre romans, articles, pièces de théâtre et écriture qui se voulait scientifique et « bibliothéconomique ». En adaptant la classification Dewey aux besoins d’une bibliothèque populaire, Morel poursuit son rêve de mettre la culture à la portée de tous, et la lutte qu’il s’est assignée de lutter contre les « cimetières de livres » non classés.
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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 | 0.003 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads 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".