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Record W4387614625 · doi:10.5539/ies.v16n6p10

Investigating the Relationship Between Bullying Coping Strategies and Cognitive Distortions in Adolescent

2023· article· en· W4387614625 on OpenAlexvenueno aff
Burcu TÜRKAN AYDIN, İsmail Ay

Bibliographic record

VenueInternational Education Studies · 2023
Typearticle
Languageen
FieldHealth Professions
TopicProblem Solving Skills Development
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyCoping (psychology)CognitionApplied psychologyDevelopmental psychologyCognitive restructuringClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

The purpose of this study is to examine the relationship between adolescents’ use of cognitive distortions and their coping strategies for dealing with bullying. This research aims to contribute to the scientific understanding and resolution of bullying behaviors, which are frequently observed in schools and raise concerns among young people. Within the study, the relationships between cognitive distortions and the strategies used by adolescents to cope with peer bullying were examined descriptively. Convenient sampling method was used in the selection of the study group. The study group consists of 483 students studying in high schools in Erzurum city center. Bullying Coping Strategies Scale, Cognitive Distortions about Relationships Scale, and Personal Information Protocol were used as data collection tools. As a result of the study, significant results were found between the bullying coping strategies used by adolescents and their cognitive distortions. In addition, it was determined that cognitive distortions predicted coping strategies with bullying at a significant level.

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)0.004
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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.342
GPT teacher head0.531
Teacher spread0.189 · 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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