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Record W1875772391 · doi:10.21432/t23019

Apports et limites des tâches web 2.0 dans un projet de télécollaboration asymétrique / Benefits and limitations of web 2.0 tasks in an asymmetrical tele-collaboration project

2014· article· fr· W1875772391 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCanadian Journal of Learning and Technology · 2014
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsLigneHumanitiesDistance educationSociologyLibrary sciencePedagogyComputer scienceArt

Abstract

fetched live from OpenAlex

Cet article se penche sur un échange en ligne lors duquel des étudiants de Master FLE (futurs enseignants de français) ont fait réaliser une soixantaine de tâches d’apprentissage à distance à des apprenants chypriotes et lettons. Pour un tiers de ces tâches, qui constituent l’objet d’analyse, les étudiants de FLE ont fait appel à des applications du Web 2.0. L’article en propose d’abord une délimitation et une catégorisation. Puis il cherche à comprendre les raisons pour lesquelles ces tâches n’ont pas débouché sur des échanges avec le monde extérieur, ni même, dans certains cas, à une diffusion des productions finales ; il s’oriente pour cela vers la question du ou des destinataire(s) des productions réalisées par les apprenants. This article focuses on an online exchange in which students in a Master FLE (French as a Foreign Language) class (future French language teachers) asked Cypriot and Latvian French-language learners to complete sixty distance-learning tasks. One third of these tasks, which are the focus of this article, used Web 2.0 applications. The article first describes and categorizes the tasks. Then it tries to understand why these tasks have not led to the expected interactions with a wider online audience nor to the anticipated dissemination of the content developed by the learners. It (continues) concludes by exploring the question of who are the intended recipient(s) of the content produced by these learners.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.489
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.035
GPT teacher head0.302
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it