La science est-elle soluble dans l’humour ? Le cas de la collection « Savais-tu ? »
Bibliographic record
Abstract
Depuis deux décennies, l’éditeur Michel Quintin offre un catalogue d’ouvrages d’initiation aux sciences, avec une préférence marquée pour la zoologie, comme en font foi les collections « Ciné-faune », « Activités nature » et « Ça grouille autour de moi. » Par-delà leur teneur en information scientifique, celles-ci mettent toutes de l’avant le lecteur et sa participation comme élément essentiel de la stratégie d’apprentissage. Le cas de la collection « Savais-tu ? » devient emblématique du paradoxe latent de ces tactiques pédagogiques. En effet, le texte explicatif s’inscrit dans une courte bande dessinée censée illustrer le propos scientifique, ce qui infléchit à la longue le processus d’assimilation des connaissances. Si la charge scientifique du propos reste minimale et bien ciblée, la découverte du monde immédiat entourant l’enfant-lecteur s’avère, quant à elle, peut-être le véritable enjeu de ces documentaires.
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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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.011 | 0.028 |
| Scholarly communication | 0.013 | 0.011 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".