There was a silly teacher in Mâcon … Nonsense et écriture créative au service de la polyvalence en master MEEF 1er degré
Bibliographic record
Abstract
This article describes a series of creative writing projects used in teaching English as a second language to MA students in a primary school teaching degree (MEEF 1er degré), as English is now one of the many subjects they will have to teach. Creative writing workshops based on children’s books such as Julia Donaldson’s Chocolate Mousse for Greedy Goose, on songs and poems, especially limericks, not only allowed those students to practice vocabulary and syntax, but also to work on phonetics.By involving creativity, these activities did not only improve these students’ sound awareness, they arguably helped to reconnect them with the English language, and sometimes to heal their relationship with English and with the difficult process of learning languages. As schoolteachers, the prospect of having to teach a language they did not choose, with which they sometimes have a difficult history, is a major source of anxiety. Poetry and rhyming children stories allow them to experience language as a sensory material, as a means of creating emotions and fun, which they will then share with their own pupils.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.024 | 0.004 |
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".