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Record W4246442952 · doi:10.3917/enf1.112.0163

Réponses précoces aux expressions faciales maternelles : une étude longitudinale

2011· article· fr· W4246442952 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueEnfance · 2011
Typearticle
Languagefr
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsUniversité du Québec à Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsPsychologyHumanitiesArt

Abstract

fetched live from OpenAlex

Résumé Pour tenter de mieux cerner le développement de la reconnaissance des expressions faciales d’émotion, nous avons analysé les expressions faciales que produisent 25 nourrissons en réaction aux expressions faciales de leur mère lors de séances d’interaction face à face. Les bébés sont âgés de 1 mois lors de la première séance et de 2,5 mois, 6 mois et 9 mois lors des séances suivantes. Leurs expressions faciales et celles de leur mère sont encodées à l’aide du système Max. La direction du regard des bébés est aussi notée. Dès l’âge de 1 mois, les nourrissons réagissent aux expressions faciales de leur mère en modifiant leurs propres expressions dans un intervalle d’au plus 1 seconde. Leurs réponses faciales se font plus différenciées à 6 mois et plus nombreuses à 9 mois. Les bébés sont donc très tôt sensibles aux expressions faciales de leur mère et ils en saisissent sans doute peu à peu la signification affective.

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)0.000
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 score0.202
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.085
GPT teacher head0.371
Teacher spread0.286 · 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