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Record W2073743766 · doi:10.5539/ass.v5n4p46

Bullying Among Lower Secondary School Students in Pattani Province, Southern Thailand

2009· article· en· W2073743766 on OpenAlexvenueno aff
Boonyapat Yodprang, Metta Kuning, Nittaya McNeil

Bibliographic record

VenueAsian Social Science · 2009
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
Fundersnot available
KeywordsLogistic regressionPsychologyDemographyEthnic groupClinical psychologyMedicine

Abstract

fetched live from OpenAlex

This study aimed to investigate the prevalence of physical bullying and to identify a suitable statistical model accounting for risk factors affecting physical bullying among lower secondary school students in Pattani province, southern Thailand. A cross-sectional survey was conducted among 244 students aged 12 to 19 years by questionnaire. All participants were interviewed in December 2006 in a neutral location outside the schools. Questions on physical bullying referred to behaviour during both the preceding six months and during the previous month. Pearson’s chi-squared test was used to assess the associations between the outcome and various determinants. Logistic regression was used to identify risk factors for physical bullying. The overall prevalence of physical bullying was found to be 18.5% (95% CI: 13.6-23.4). Gender was not significantly associated with bullying others. The outcome was associated to a statistically significant degree with age group, ethnicity, school type and parental violence. Specifically, the results from this study indicated that students who had experience of parental violence were more likely to be bullies at school.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.010
GPT teacher head0.298
Teacher spread0.288 · 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.

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

Citations13
Published2009
Admission routes1
Has abstractyes

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