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Record W3025124504 · doi:10.1177/0272431620919164

Theory of Mind in Adolescence: Developmental Change and Gender Differences

2020· article· en· W3025124504 on OpenAlexaff
Małgorzata Stępień‐Nycz, Sandra Bosacki, Marta Białecka‐Pikul

Bibliographic record

VenueThe Journal of Early Adolescence · 2020
Typearticle
Languageen
FieldPsychology
TopicChild and Animal Learning Development
Canadian institutionsBrock University
FundersNarodowe Centrum Nauki
KeywordsTheory of mindPsychologyDevelopmental psychologyLongitudinal studyLongitudinal dataTask (project management)CognitionDemographyMedicine

Abstract

fetched live from OpenAlex

The theory of mind (ToM) is the ability to understand mental states in others. The previous research has highlighted age- and language-dependent effects during childhood and provided inconsistent data regarding the role of gender. Notably, these variables were rarely studied simultaneously among adolescents. Accordingly, this short longitudinal study explored age and gender differences in advanced ToM among 233 13- and 16-year-old Polish adolescents. Controlling for language, results indicated that females outperformed males in advanced ToM measurement (Ambigous Stories task). No differences were revealed between younger and older adolescents over 18 months, although for the total sample, a small increase in the quality of ToM explanations was found. Implications for gender and developmentally sensitive measurements of advanced ToM are discussed.

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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.102
GPT teacher head0.288
Teacher spread0.186 · 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

Citations29
Published2020
Admission routes1
Has abstractyes

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