Perspective actionnelle et genres textuels : le modèle didactique dans l’enseignement du français langue étrangère
Bibliographic record
Abstract
Cet article discute de l’intérêt de l’usage de la perspective actionnelle et des genres textuels pour l’enseignement et l’apprentissage du français langue étrangère. Dans un deuxième temps, nous visons à susciter un débat sur l’importance de bien connaître un genre avant d’enseigner à le produire, spécialement si l’on assume que la perspective adoptée est celle de faire agir en langue étrangère. Pour ce faire, nous allons analyser le genre textuel «itinéraire de voyage» et à partir de l’observation de plusieurs textes du même genre, nous allons élaborer un modèle didactique, tel que présenté par Schneuwly & Dolz (2004). La théorie qui sous-tend cette étude repose sur les propositions du Cadre Européen Commun de Référence pour l'utilisation de la perspective actionnelle; et aussi sur les travaux de Schneuwly & Dolz (2004) et Bronckart (1999, 2004, 2006) pour l’élaboration d’un modèle didactique. Celui-ci peut être défini comme un relevé des caractéristiques de dimensions enseignables de textes appartenant au même genre. This article discusses the advantages of using an action-based approach and textual genres for teaching and learning French as a foreign language. I also hope to demonstrate the importance of fully understanding a genre before teaching how to reproduce it, especially if the adopted approach is to incite action in a foreign language. To do this, I will analyse the textual genre “trip itinerary” and, beginning with observations of many texts of the same genre, I will devise a didactic model, such as the one proposed by Schneuwly and Dolz (2004). The underlying theory of this study is based on the recommendations of the Common European Framework of Reference for the use of the action-based approach and on the works of Schneuwly and Dolz (2004) and Bronckhart (1999, 2004, 2006) for the production of a didactic model. This model may be defined as a summary of the characteristics of the teachable dimensions of texts sharing the same genre. Article reçu le 2011-12-09; accepté le 2012-10-11
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.008 | 0.019 |
| Scholarly communication | 0.014 | 0.014 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".