La médiation dans le contexte de l’apprentissage d’une langue seconde
Bibliographic record
Abstract
This article is a review of the literature on the use of cultural-historical activity theory (CHAT) in the context of language instruction. It explores the concept of mediation as applied to the learning of a second language. First introduced by Vygotsky (1978) and expanded upon by researchers such as Engeström (2015) and Prenkert (2010), this concept is often presented by researchers in the field of second language teaching without being operationalized. Stemming from this observation, the objectives of the present article are to redefine the concept of mediation, to circumscribe its role in the activity system, and to describe its role in second language teaching research. It also aims to highlight the new applications of mediation as used in the second language classroom. To do so, a narrative literature review based on data bases (LLBA, ERIC, EBSCO, PsycNET, SOFIA) and inclusion criteria is carried out. The texts on which this literature review rests are empirical in nature and operationalize mediation in context. The analysis of the texts reveals a shared definition of mediation and a common idea as to the role of mediation in the second language classroom. In this regard, it draws parallels between the different elements of the activity system. Finally, several contributions of the selected texts are revealed: (1) the dual role of language as mediator and object, (2) the role of learning strategies as mediators, (3) the role of class culture as a mediator, and (4) the use of new artefacts in the classroom.
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 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.016 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| 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".