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Record W4210781846 · doi:10.1002/pits.22654

Resiliency and academic engagement: A moderated mediation model

2022· article· en· W4210781846 on OpenAlexaff
Jiemei Yang, Jingyi Xu, Hui Zhang

Bibliographic record

VenuePsychology in the Schools · 2022
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyModerated mediationMediationSocioeconomic statusAssociation (psychology)Developmental psychologyModerationStudent engagementStructural equation modelingSocial supportAcademic achievementClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

Abstract The present study examined whether general self‐efficacy (GSE) mediated the association between resiliency and academic engagement, and whether social support moderated the mediating process. Participants included 1549 Chinese adolescents ( M age = 16.71 years old, 629 boys). Using self‐reported questionnaires, our study found that, after controlling for youth age, sex, and family socioeconomic status, GSE partially mediated the positive relation between resiliency and academic engagement. Further, social support moderated the association between resiliency and GSE, as well as the association between resiliency and academic engagement. Findings underline the significance of identifying the mediating and moderating factors linking resiliency and academic engagement. Implications and future research directions were discussed.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.404
Threshold uncertainty score0.667

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.083
GPT teacher head0.456
Teacher spread0.373 · 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.

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

Citations12
Published2022
Admission routes1
Has abstractyes

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