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Record W2920149783 · doi:10.5430/wje.v9n1p243

The Phenomenon of Bullying: A Case Study of Jordanian Schools at Tafila

2019· article· en· W2920149783 on OpenAlexvenueno aff
Abderraheem Fadhil Salamn Almahasnih

Bibliographic record

VenueWorld Journal of Education · 2019
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingPsychologySocial psychologyScale (ratio)PhenomenonTest (biology)ConscienceDevelopmental psychology

Abstract

fetched live from OpenAlex

The aim of this research was to investigate the phenomenon of bullying and the dangerous effects on victims and thesecurity of school environment, and to understand the psycho-social dimensions, through recognizing the degree ofcontribution of embodying the social values, feeling inferiority and strength of inner feeling of bullies who try tocompensate some difficulties and get social and psychic giants in Tafila Public Schools south Jordan. The sample ofthe study was consisted 300 male and female bullies students at the high-primary stage in the academic year2009/2010 in 8th, 9th and 10th grades. The researcher developed three scales for the purpose of this study: bullyingscale, bullying measure developed for this study: social values scale feeling inferiority scale and the conscienceawakening scale. Means and SDs, ANNOVA and the Chaffee test were utilized in this study. Results indicated thatthe variable of feeling inferior was the strongest factor for predicting bullying and Awakening of conscience andsocial values were found to have a negative relationship with bullying. In addition, it was shown that male studentsare more practiced in bullying than female students and there were statistically significant differences among themeans of students performance in (8th – 10th grades) in bullying only, where no statistically significant differencesindicated among the three levels of grades in social values, feeling interior and awakening of conscience.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.325
Teacher spread0.305 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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