Lectures de la littérature pour la jeunesse dans l'enseignement secondaire français et québécois : diversité des corpus, des finalités et des pratiques pédagogiques
Bibliographic record
Abstract
In France and in Quebec, youth literature has been neglected for a long time by the secondary teachers or discorded from french lessons. Nevertheless, in 1996, it appeared in ministerial lists exclusively dedicated to it and intended to the high school teachers. One year before, the Quebec teachers were invited to include it in reading practices. It has been considered as a matter for pupils’ personal reading. The aim of this research is to identify youth literature works that have been selected for French and Quebec secondary teaching, then to know the purposes given by the teachers and their pedagogical practices when they introduce it in their classes. The first part relates the history of youth literature through the first teaching aids’ one, created to teach, to educate or to entertain children in the different places that are opened to them (periodicals and various books). The second part is about the place that the secondary teaching gave to youth literature, in its different programs. At last, the third part moves on the texts for the youth and the practices that nowadays teachers propose to their pupils. Our research belongs to the sphere of French language didactics and affects the specific fields of literature and reading didactics. It has a descriptive purpose and it asks questions to fixed corpus, intended to teachers (official instructions, reading notes and documents extracted from pedagogical reviews), in a diachronic and synchronic view.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".