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Record W4388977274 · doi:10.5539/ies.v16n6p91

Mediating Role of Bullying in the Relationship Between Aggression and Adolescents’ Resilience

2023· article· en· W4388977274 on OpenAlexvenueno aff
Elnur Rustamov, Ulviyya Nahmatova, Narinj Rustamova, Matanat Aliyeva

Bibliographic record

VenueInternational Education Studies · 2023
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
Fundersnot available
KeywordsAggressionPsychologyMediationPsychological resilienceScale (ratio)Bootstrapping (finance)Developmental psychologyResilience (materials science)Social psychologyGeographyPolitical scienceCartography

Abstract

fetched live from OpenAlex

This study aimed to explore the mediation effects of bullying on the connection between aggression and resilience among Azerbaijani adolescents. The research involved 623 participant from various regions in Azerbaijan, and data were collected using the Buss-Perry Aggression Questionnaire, the Illinois Bully Scale, and the Brief Resilience Scale. To analyze the data, correlations and a bootstrapping procedure were employed. The results from bootstrapping indicated that the mediating role of bullying (bullying, victim, and fighter) was statistically significant. This implies that bullying, victim, and fighter partially mediated the relationship aggression and resilience among Azerbaijani adolescents. As a conclusion, to enhance adolescents’ resilience, it is crucial to address aggression and bullying. By focusing on these aspects, adolescents’ overall resilience can be negatively impacted, leading to improved well-being and performance in the school setting.

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 score0.011
Threshold uncertainty score0.021

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 studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.420
Teacher spread0.337 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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