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Record W2975653079 · doi:10.1111/sode.12411

Changes in preschool children’s social engagement positively predict changes in social competence: A three‐year longitudinal study of portuguese children

2019· article· en· W2975653079 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSocial Development · 2019
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversité de Sherbrooke
FundersFundação para a Ciência e a Tecnologia
KeywordsSocial competencePsychologyDevelopmental psychologyPortugueseCompetence (human resources)Multilevel modelEarly childhoodLongitudinal studySocial changeSocial psychology

Abstract

fetched live from OpenAlex

Abstract To test the hypothesis that social engagement is a foundational aspect of other peer social competence indicators during early childhood, 160 Portuguese preschool children (“3‐year‐olds”) were observed at least in two different school years, using a battery of validated social competence assessments based on direct observations and child interviews. Multilevel growth models tested whether social engagement predicted initial values and linear changes in the other social competence indicators. Results were consistent with the hypothesis, insofar as both initial values and changes in social engagement significantly predicted initial values and changes in other social competence indicators. Additionally, the number of children's reciprocated friendships was also predicted by social engagement. These results are discussed from the perspectives of conceptual frameworks that consider individual differences in social competence during early childhood as a consequence of attachment histories and/or emotional competence.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.033
GPT teacher head0.296
Teacher spread0.262 · 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