ÉTUDIER L’ÉCUME DES JOURS EN SECONDE, ENTRE SONS ET IMAGES, ENTRE JAZZ ET MÉTAPHORES
Bibliographic record
Abstract
L’article rend compte d’une expérimentation en classe de lycée (seconde) en France : il s’agit d’évaluer la pertinence et l’efficacité de la lecture subjective de l’enseignant dans les pratiques d’apprentissage du texte littéraire. Pour ce faire, en s’appuyant sur sa formation en master 2, qui vise à initier les étudiants aux concepts de sujet lecteur, de lecture subjective et de texte du lecteur, la stagiaire a élaboré pour sa classe un protocole d’étude de L’Écume des jours de Boris Vian en respectant la pluralité artistique, littéraire, visuelle et surtout musicale, de l’oeuvre. L’expérimentation pédagogique s’est particulièrement focalisée sur l’écoute musicale de morceaux de jazz en lien étroit avec le roman et s’est révélée particulièrement productive en termes de motivation des élèves et d’apprentissage en lecture et écriture.
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 | 0.005 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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".