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Record W4298877944 · doi:10.3917/enf1.144.0459

Empathie, comportements pro-sociaux et troubles du comportement

2014· article· fr· W4298877944 on OpenAlexaff
Émilie Girard, Miguel M. Terradas, Célia Matte‐Gagné

Bibliographic record

VenueEnfance · 2014
Typearticle
Languagefr
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité LavalUniversité de SherbrookeCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsHumanitiesPsychologyPhilosophy

Abstract

fetched live from OpenAlex

Résumé Les Troubles du comportement (TC) étant de plus en plus présents dans le milieu scolaire, il est primordial de s’attacher aux facteurs qui sont liés à l’apparition ou à la chronicisation de ces troubles. Parmi ces facteurs, cette recherche vise à explorer le rôle de l’empathie et des comportements pro-sociaux en lien avec les TC. Pour ce faire, cinquante et un garçons âgés de 7 à 12 ans et leurs parents ont participé à l’étude. Les enfants ont rempli un questionnaire concernant leur capacité d’empathie. Pour leur part, les parents ont répondu à des questionnaires mesurant les TC, la capacité d’empathie et les comportements pro-sociaux chez leurs enfants. Les résultats suggèrent que l’empathie est un facteur lié au bon développement psychosocial de l’enfant. Ils mettent également en relief le rôle que peuvent jouer les comportements pro-sociaux de l’enfant pour réaliser une médiation entre la capacité d’empathie et les TC.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.042
GPT teacher head0.372
Teacher spread0.329 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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