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Record W4281873990 · doi:10.1080/00221325.2022.2081786

Young Argentine Children’s Attributions about Hypothetical Socially Withdrawn Peers

2022· article· en· W4281873990 on OpenAlexaff
Karen Noel Castillo, Carolina Greco, Celina Korzeniowski, Mirta Susana Ison, Robert J. Coplan

Bibliographic record

VenueThe Journal of Genetic Psychology · 2022
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsCarleton University
FundersConsejo Nacional de Investigaciones Científicas y Técnicas
KeywordsAttributionPsychologySympathyIntentionalityDevelopmental psychologyPreferenceSocial psychology

Abstract

fetched live from OpenAlex

This study assessed young children’s attributions about different subtypes of hypothetical socially withdrawn peers. Participants were N = 114 (56% boys, Mage= 60.53 months, SD = 7.58) children attending urban public kindergartens in Mendoza, Argentina. Children were presented with vignettes describing hypothetical shy, unsociable, aggressive, and socially competent peers, and were asked a series of questions to assess their attributions toward each behavior. The results indicated that Argentine children characterized hypothetical unsociable peers as behaving with greater intentionality and lesser social motivations than shy children. No differences were found between the unsociable and shy hypothetical peers regarding the attributions of sympathy, affiliative preference, negative impact and social standing in the class. These findings provide some of the first evidence about Argentine children understanding of social withdrawal. Results are discussed in terms of the possible cultural meanings and implications of these behaviors.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.020
GPT teacher head0.295
Teacher spread0.276 · 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 teacher head, not a consensus.

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

Citations5
Published2022
Admission routes1
Has abstractyes

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