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Record W4313317055 · doi:10.4000/alsic.6319

Concevoir des parcours immersifs en français langue seconde pour préparer les étudiants étrangers à la mobilité

2022· article· fr· W4313317055 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAlsic · 2022
Typearticle
Languagefr
FieldSocial Sciences
TopicEducational Tools and Methods
Canadian institutionsUniversité du QuébecUniversité du Québec à Montréal
FundersAgence Nationale de la Recherche
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Avec la place grandissante des apprentissages médiés par les technologies, aussi bien dans le milieu académique que pour le grand public, il semble opportun d'évaluer les possibilités offertes par les technologies immersives pour fournir des expériences alternatives d'apprentissage d'une langue-culture. Le projet Visiteurs s'appuie sur la conception d'un parcours immersif qui vise à accompagner l'exploration de l'espace public par des étudiants étrangers. Certaines étapes de la conception de ce parcours pilote fournissent un espace privilégié pour examiner l'apport des technologies immersives pour un apprentissage situé d'une langue seconde et pour générer des méthodes et des concepts propices à nourrir la recherche en ingénierie didactique.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0170.000

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 head0.050
GPT teacher head0.363
Teacher spread0.312 · 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