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Record W2161015928 · doi:10.1080/01650250344000334

Self-perceptions of competence in Brazilian, Canadian, Chinese and Italian children: Relations with social and school adjustment

2004· article· en· W2161015928 on OpenAlexaffabout
Xinyin Chen, Carla Zappulla, Alida Lo Coco, Barry H. Schneider, Violet Kaspar, Ana Maria de Oliveira, HE Yun-feng, Dan Li, Boshu Li, Natasha Bergeron, Hennis Chi‐Hang Tse, Amanda DeSouza

Bibliographic record

VenueInternational Journal of Behavioral Development · 2004
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of TorontoUniversity of OttawaWestern University
Fundersnot available
KeywordsShynessPsychologySocial competencePerceptionDevelopmental psychologyCompetence (human resources)Academic achievementPeer relationsSocial psychologySocial changePeer groupAnxiety

Abstract

fetched live from OpenAlex

The purpose of the present study was to examine relations between self-perceptions of competence and social, behavioural, and school adjustment in Brazilian, Canadian, Chinese, and Italian children. Self-perception data were collected through children’s self-reports. Information about social behaviours, peer acceptance, and school achievement was obtained from peer assessments and teacher ratings. Multi-group analyses revealed similar patterns of relations between self-perceptions in scholastic and general self-worth domains and social and school performance in the four samples. However, the relations between self-perceptions of social competence and shyness and academic achievement were different across these samples. Self-perceptions of social competence was negatively associated with shyness in Brazilian, Canadian, and Italian children, but not in the Chinese children, and positively associated with academic achievement in Canadian and Chinese children, but not in Brazilian and Italian children. Similarities and differences in the patterns of relations between self-perceptions and social and school adjustment across cultures indicate that the self system may be a culture-general as well as culture-specific phenomenon.

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 score0.354
Threshold uncertainty score0.713

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.027
GPT teacher head0.347
Teacher spread0.320 · 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

Citations74
Published2004
Admission routes2
Has abstractyes

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