Émotions et compréhension de narrations littéraires : des rapports si intrinsèquement liés
Bibliographic record
Abstract
En s’appuyant sur des recherches pluridisciplinaires effectuées en psychologie cognitive, en didactique de la littérature et en sciences du langage, cet article traite des émotions que les éléments d’un texte suscitent chez un lecteur apprenant une langue étrangère. Les émotions faisant partie du processus de compréhension, la finalité est qu’à partir d’une approche par les émotions de la compréhension des narrations littéraires, les apprenants acquièrent une compétence émotionnelle. About emotions and understanding of literary narratives Abstract: Based on multidisciplinary research conducted in cognitive psychology, teaching of literature and language sciences, this article studies the emotions that a text evokes in a learner in the process of understanding a foreign language. Emotions being part of the process of understanding, the aim is that, from an approach via the emotions of literary narratives, students acquire emotional skills.
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 | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".