Attention et production d'autoreformulations autoamorcées en français langue seconde, quelle relation?
Bibliographic record
Abstract
RESUME Cette étude avait comme objectif de tenter d'établir un lien entre la capacité attentionnelle et les autoreformulations autoamorcées d'apprenants adultes de français langue seconde produites lors d'une tâche de narration. L'analyse des données n'a pas permis d'établir une association significative entre ces deux variables. Les résultats appuient donc ceux obtenus d'une étude antérieure (c.-à-d., Fincher, 2006) ayant examiné, de manière différente, la même question de recherche. Les résultats doivent être interprétés en fonction de la mesure de l'attention utilisée, à savoir une mesure capacitaire. Les conclusions de l'étude permettent de faire ressortir le manque de précision concernant la nature du processus attentionnel en jeu lors de production d'autoreformulations autoamorcées.
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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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".