MétaCan
Menu
Back to cohort
Record W2738520110 · doi:10.5539/jel.v6n4p209

A Study on Bullying Tendencies among Preadolescents

2017· article· en· W2738520110 on OpenAlexvenueno aff
Nurten Sargın

Bibliographic record

VenueJournal of Education and Learning · 2017
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyDistressScale (ratio)Developmental psychologySignificant differenceClinical psychologySocial psychology

Abstract

fetched live from OpenAlex

The amount of bullying escalating in schools in recent years has been approached as an issue that needs to be investigated, whose causes need to be searched and for which preventive efforts should be made. This study is aimed at examining the bullying tendencies among preadolescents. The study was carried out with middle school preadolescents in Konya between the years 2016 and 2017. The voluntary participants were 122 female and 78 male students with an age range of 13 to 14 years. The participants were administered the Bullying Tendency Scale, which was developed and whose validity and reliability was established by Dölek (2002), and the demographic information about the students were collected using a Personal Information Form developed by the researcher. Analysis of the data obtained in the study revealed significant results in favour of male students in negative reflection, lack of emotional sharing, causing distress, use of force and bullying tendency according to the gender of participants. In terms of age factor, significant results were obtained in favour of 14 year-olds in causing distress, use of force and bullying tendency. For negative reflection, no significant difference was found in justification and lack of emotional sharing according to the age of preadolescents. Similarly, no significant difference was found in relation to the socio-economic status of the participants. Recommendations were offered based on the results of the study.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.024
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.370
Teacher spread0.329 · 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.

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

Citations3
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Education and LearningSame topicBullying, Victimization, and AggressionFrench-language works237,207