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Record W1523209642 · doi:10.7202/001604ar

Accès différentiel au matériel de jeu chez les enfants d’âge scolaire

2002· article· fr· W1523209642 on OpenAlexvenueno aff
Luc Racine

Bibliographic record

VenueSociologie et sociétés · 2002
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation, sociology, and vocational training
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Quinze groupes de trois enfants chacun ont été observés et filmés au magnétoscope. Chaque groupe avait la possibilité de faire un dessin collectif ou trois dessins individuels sur une grande feuille de papier, et disposait de quatre crayons de couleurs différentes. Les enfants avaient entre cinq et douze ans, aucun groupe ne présentant un écart d'âge de plus de deux ans. Les enfants se choisissaient mutuellement, indépendamment du sexe, et dessinaient aussi longtemps qu'ils lie désiraient. L'analyse des prises de crayons, pour chaque membre de chaque groupe, a donné les résultats suivants : a) les prises faites aux partenaires sont moins nombreuses que les prises sur la table, et induisent plus d'inégalités; b) la hiérarchie fondée sur les prises sur la table ne córrele pas avec la hiérarchie fondée sur les prises aux partenaires; c) dans le cas des prisés aux partenaires, la hiérarchie établie à partir des écarts dyadiques ne concorde que faiblement avec la hiérarchie établie à partir des écarts qui tiennent compte de l'influence du tiers sur chaque: dyade.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.623
GPT teacher head0.563
Teacher spread0.060 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2002
Admission routes1
Has abstractyes

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