Bibliographic record
Abstract
Résumé Dans cet article, nous nous concentrerons sur la compétence de compréhension orale en Français Langue Étrangère (FLE). En effet, force est de constater que cette habilité cause problème aux apprenants ne se trouvant pas en situation d’immersion totale. Alors, comment y remédier ? Pour cela, nous souhaitons montrer les variantes des méthodes d’enseignement de l’oral depuis la fin du XIXème siècle jusqu’à nos jours. D’autre part, nous expliquerons comment le message sonore parvient à l’apprenant, quels sont les processus cognitifs mis en place lors de la compréhension orale. Pour finir, nous ferons un tour d’horizon des ressources de compréhension orale que nous pouvons utiliser avec des niveaux avancés de Français Langue Étrangère, et plus particulièrement à l’Université Nationale Autonome du Mexique. Bref, nous focaliserons notre attention sur l’usage de documents authentiques, sur les activités possibles à partir de ce support et des nouvelles technologies. Mots clés enseignement de la compréhension orale, méthodes, processus cognitifs, paysage sonore, document authentique, TICE, mémoire à court, moyen et long terme. Abstract In this article we will concentrate on listening comprehension skill in French Foreing Language. We really verify that this skill causes problems to students who doesn’t find in a total immersion situation. So, how can we solve it? For this reason, we wish to show different methods in teaching listening comprehension skills since the late 19th Century until now. On the other hand, we will explain how the resounding message comes throw students, which are the cognitive process running in this skill. Finally, we will review listening comprehension material that we can use in advanced levels of French Foreing Language, in particular, at the Autonomous National University of Mexico. In short, we will focus on the use of authentic documents. We will also see the possible activities from this support and the new technologies. Key-words teaching listening comprehension, authentic documents, Internet, short, middle and large memories, mental representations, methods, cognitive process.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.076 | 0.025 |
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".