MétaCan
Menu
Back to cohort
Record W2161268462 · doi:10.1177/0165025409350959

Shyness, teacher-child relationships, and socio-emotional adjustment in grade 1

2010· article· en· W2161268462 on OpenAlexafffund
Kimberley A. Arbeau, Robert J. Coplan, Murray Weeks

Bibliographic record

VenueInternational Journal of Behavioral Development · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicEarly Childhood Education and Development
Canadian institutionsCarleton University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsShynessPsychologyDevelopmental psychologyScale (ratio)Anxiety

Abstract

fetched live from OpenAlex

The goal of the present study was to explore the moderating role of teacher—child relationships in the relation between shyness and socio-emotional adjustment in early elementary school. Participants were n = 169 grade 1 children (M age = 76.93 mos, SD = 3.86). Shortly after the start of the school year (September), parents completed an assessment of their child’s shyness. In January/February teachers completed the Student—Teacher Relationship Scale (STRS; Pianta, 2001). At the end of the school year (May/June), child adjustment was assessed by both child and teacher reports. Among the results, shyness and negative teacher—child relationships (i.e., dependent, conflictual) were related to socio-emotional difficulties, whereas close teacher—child relationships were associated with indices of positive adjustment. However, several interaction effects were also observed, with teacher—child relationships moderating the relations between shyness and adjustment. The pattern of results suggested a potential protective role for teacher—child relationships in shy children’s adjustment. Results are discussed in terms of the contributions of teachers to young shy children’s school adjustment.

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)0.002
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
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.042
GPT teacher head0.351
Teacher spread0.309 · 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

Citations217
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueInternational Journal of Behavioral DevelopmentSame topicEarly Childhood Education and DevelopmentFrench-language works237,207