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Record W4399913571 · doi:10.47832/dubaicongress1-3

SELF-EFFICACY AND THE INABILITY TO EXPRESS EMOTIONS (ALEXITHYMIA) AMONG VICTIMS OF BULLYING - A FIELD STUDY

2024· article· en· W4399913571 on OpenAlexaboutno aff
Prof. Dr. BERGHOUTI Tawfiq, Researcher ZAAROURI Souad

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsnot available
Fundersnot available
KeywordsAlexithymiaPsychologySelf-efficacyArabicToronto Alexithymia ScaleClinical psychologyScale (ratio)Developmental psychologySocial psychology

Abstract

fetched live from OpenAlex

This study aimed to identify the levels of self-efficacy and the inability to express emotions and the relationship between them among adolescents who educational supervisors stated were exposed to bullying. The study applied Schwarzer's Arabic version of the Self-Efficacy Scale and the Toronto Emotional Expression Incompetence Scale to a sample of (160) students in middle and high school from several educational institutions in the province of Biskra. After processing the results using the statistical package SPSS, the study found the following results: _The level of self-efficacy among bullied adolescents is average. _The level of the inability to express emotions among bullied adolescents is high. _There is a statistically significant correlation between self-efficacy and the inability to express emotions among bullied adolescents.. Key Words: Self-Efficacy, The Inability To Express Emotions (Alexithymia)

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)0.002
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 score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.018
GPT teacher head0.305
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 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
Published2024
Admission routes1
Has abstractyes

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