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Record W6980340422

Bullying among Chinese adolescents: the roles of parental practices and empathy

2019· dissertation· en· W6980340422 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2019
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
FundersMcGill University
KeywordsEmpathyAutonomyAssociation (psychology)CognitionPsychological controlHuman factors and ergonomicsSocial information processingPoison control
DOInot available

Abstract

fetched live from OpenAlex

Bullying at school is recognized as a global phenomenon and has serious impacts on students' well-being. Previous studies have explored how parental practices as well as children's empathy were separately linked to children's bullying behaviors. However, few studies have examined the combined association between parental practices, adolescents' empathy, and their bullying behaviors. The present study investigated the relationship among Chinese adolescents' perceived parental practices (parental warmth, parental autonomy support, and parental psychological control), empathy (cognitive empathy and affective empathy), and bullying behaviors. Participants of this study included 277 Chinese adolescents from grade seven to grade twelve. Using the structural equation model, results indicated that affective empathy mediated between maternal warmth (but not paternal) and bullying behaviors. In addition, both parental autonomy support and psychological control were mediated by cognitive empathy, which, in turn, were linked to bullying behaviors. Findings from this study are expected to contribute to better understanding of how bullying behavior is related to parenting and adolescents' empathic development. Further the information obtained in this study will provide parents and educators with useful insights in reducing bullying in the Chinese context.

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 score0.047
Threshold uncertainty score0.094

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 science0.0000.000
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 head0.023
GPT teacher head0.231
Teacher spread0.208 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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