La méthode de la pensée à voix haute pour analyser les difficultés en lecture des élèves de 14 à 17 ans
Bibliographic record
Abstract
Peu de travaux ont documenté les capacités et les difficultés en lecture des élèves francophones du 2e cycle du secondaire – 14 à 17 ans. Pour étudier ces capacités, nous nous concentrerons dans cet article sur des lectures réelles d’élèves de la fin du secondaire. Après avoir présenté l’outil de production de données que nous avons retenu, la méthode de la pensée à voix haute – Think aloud protocols –, nous décrirons la façon dont se sont déroulés les entretiens, ainsi que les résultats que nous dégageons, notamment les difficultés des élèves à construire le sens global du texte, à l’interpréter, à remédier à leurs bris de compréhension et à apprécier un texte qu’ils ne comprennent pas
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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 | 0.013 | 0.039 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".