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Record W2883684766 · doi:10.5539/ies.v11n8p69

A Scrutiny on the Aggression Levels of the Students of Sports, Vocational, and Anatolian High Schools

2018· article· en· W2883684766 on OpenAlexvenueno aff
Mehmet ALTIN, Ali Kıvrak

Bibliographic record

VenueInternational Education Studies · 2018
Typearticle
Languageen
FieldPsychology
TopicBullying, Victimization, and Aggression
Canadian institutionsnot available
Fundersnot available
KeywordsAggressionHostilityPsychologyTurkishAngerVocational educationPopulationLikert scaleSocial psychologyDevelopmental psychologyPedagogyDemography

Abstract

fetched live from OpenAlex

The objective has been set through this study to present and compare the aggression levels in three different High School types. The population of the study was constituted by the High School students in the province of Konya and its sampling group by the 226 male and 190 female students studying at Vocational High Schools, Anatolian High Schools, and Sports High Schools. In the study, demographic personal information form was used in the collection of personal information and Buss-Perry Aggression Scale (BPAS), which was developed by Buss and Perry (1992), whose the validity and reliability study in its Turkish form was performed by Demirtas-Mardan (2013), was used for determining the aggression levels. In terms of the anger dimension depending on the gender factor, no statistical change was observed, while it was determined that the average values for the male students in the physical aggression, hostility, and verbal aggression dimensions were higher than the female students and such changes were statistically significant (P<0.05). It can be said on the basis of the findings of this study that the aggression values of the Secondary Education students did not vary in line with the sportive activities and that the male students have more sense of aggression than female students.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.060
GPT teacher head0.417
Teacher spread0.357 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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