MétaCan
Menu
Back to cohort

The Influence of Student Perceptions of School Climate on Socioemotional and Academic Adjustment: A Comparison of Chinese and American Adolescents

2009· article· en· W2001137452 on OpenAlexaff
Yueming Jia, Niobe Way, Guangming Ling, Hirokazu Yoshikawa, Xinyin Chen, Diane Hughes, Xiaoyan Ke, Zuhong Lu

Bibliographic record

VenueChild Development · 2009
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsWestern University
Fundersnot available
KeywordsSocioemotional selectivity theoryPsychologyAutonomyChinaPerceptionDevelopmental psychologyStudent engagementAcademic achievementSocial psychologyMathematics education

Abstract

fetched live from OpenAlex

This study explored students' perceptions of 3 dimensions of school climate (teacher support, student-student support, and opportunities for autonomy in the classroom) and the associations between these dimensions and adolescent psychological and academic adjustment in China and the United States. Data were drawn from 2 studies involving 706 middle school students (M = 12.26) from Nanjing, China, and 709 middle school students (M = 12.36) from New York City. Findings revealed that students in China perceived higher levels of teacher support, student-student support, and opportunities for autonomy in the classroom than students in the United States. Furthermore, students' perceptions of teacher support and student-student support were positively associated with adolescents' self-esteem and grade point average but negatively associated with depressive symptoms for both Chinese and American adolescents.

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 score0.023
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.019
GPT teacher head0.350
Teacher spread0.330 · 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

Citations431
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueChild DevelopmentSame topicChild and Adolescent Psychosocial and Emotional DevelopmentFrench-language works237,207