Bibliographic record
Abstract
Résumé: Cet article présente une recension des écrits (théorie et recherches) portant sur la facilité en lecture. Les questions étudiées regroupent : les variations de la vitesse de lecture selon le processus de lecture, le rôle et le développement de la vitesse de lecture dans les modèles de lecture actuels (tels que le modèle du traitement de l'information, de l'efficacité verbale et les modèles de traitement parallèle et distribué), ainsi que les facteurs contribuant à un traitement inefficace de l'information et à des vitesses de lecture réduites parmi les lecteurs de langue seconde (L2). L'auteur examine les implications pédagogiques s'inscrivant à l'intérieur de ce cadre théorique et décrit des activités particulièrement prometteuses pour développer la facilité de lecture chez les apprenants de L2 (activités telles que lecture répétée, lecture prosodique et lecture par syntagmes), et pour favoriser l'épanouissement de cette aptitude (à l'aide, par exemple, de la prévisualisation et du procédé d'analyse de mots). Abstract: This article reviews theory and research in the area of fluency in reading. Issues examined include variations in reading rate according to reading process; the role and development of rate in current models of reading (i.e., information processing, verbal efficiency, and PDP models); and factors contributing to inefficient processing and slower reading rates among L2 readers. In light of this theoretical framework, instructional implications are drawn and specific instructional activities that show promise to develop L2 reader fluency (i.e., repeated reading, prosodic reading, phrase group reading) and facilitate the fluent reading of L2 text (i.e., previewing, word analysis procedure) are described. The English version of this text is available at http://www.utpjournals.com/product/cmlr/611/fraser.htm.
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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.002 |
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".