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Record W3020361927 · doi:10.1080/01443410.2020.1742875

Why are boys perceived as less prosocial than girls by their early childhood educators? The role of pragmatic skills in preschool and kindergarten children

2020· article· en· W3020361927 on OpenAlexaff
Caroline Bouchard, Audette Sylvestre, Nadine Forget‐Dubois

Bibliographic record

VenueEducational Psychology · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsProsocial behaviorPsychologyDevelopmental psychologyPragmatics

Abstract

fetched live from OpenAlex

This study examined the moderating role of pragmatic language skills in the relationship between perceived prosociality and gender among children in two different educational contexts and age groups (n = 108 children in childcare centres, age 4–5; n = 113 children in kindergarten, age 5–6). In line with many other studies, the results showed that boys were perceived by their ECEs and kindergarten teachers as being less prosocial than girls. In seeking to explain this gender gap, the moderating role played by perceived pragmatics in the prosociality of girls and boys as perceived by their ECEs and teachers was investigated and tended to be supported. These results are discussed in terms of gender stereotypes and their implications for promoting egalitarian relationships between boys and girls in educational contexts.

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 score0.013
Threshold uncertainty score0.026

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.008
GPT teacher head0.287
Teacher spread0.278 · 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

Citations21
Published2020
Admission routes1
Has abstractyes

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