MétaCan
Menu
Back to cohort
Record W2990172180 · doi:10.4000/alsic.3952

Deux scénarios numériquement outillés visant la créativité : est-ce favoriser des affects positifs et des apprentissages ?

2019· article· fr· W2990172180 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAlsic · 2019
Typearticle
Languagefr
FieldPsychology
TopicCommunication in Education and Healthcare
Canadian institutionsMcGill UniversityDawson CollegeFrancophone University Association
Fundersnot available
KeywordsHumanitiesCreativityPsychologyArtSocial psychology

Abstract

fetched live from OpenAlex

Cette étude de cas, dans le milieu universitaire canadien du français langue seconde (FLS), propose d’analyser deux scénarios pédagogiques numériquement outillés dont les consignes visent à encourager la créativité, du point de vue des affects positifs et des apprentissages qu’ils pourraient entraîner et de leur impact motivationnel. Si le lien entre créativité, affects positifs et motivation apparait clairement, la présence des outils numériques fait naitre des affects plus duels. Quant aux apprentissages, ils ressortent de nos analyses, mais les étudiants perçoivent surtout les savoirs, au détriment des savoir-être et des savoir-faire. Ainsi, il s’agit de proposer un contrat pédagogique qui favoriserait le développement de savoir-être et de savoir-faire et les valoriserait auprès des apprenants. Ce travail permet aussi de dégager des pistes didactiques quant à l’intégration stratégique des outils du web 2.0 dans des scénarios pédagogiques visant la créativité.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.303
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.004

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 head0.047
GPT teacher head0.402
Teacher spread0.355 · 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