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Record W2073706469 · doi:10.5539/ass.v6n12p101

Moderating Effects of Resilience, Self-Esteem and Social Support on Adolescents’ Reactions to Violence

2010· article· en· W2073706469 on OpenAlexvenueno aff
Samuel O. Salami

Bibliographic record

VenueAsian Social Science · 2010
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsModerationPsychologySelf-esteemPsychological resilienceMultilevel modelPsychological interventionClinical psychologySocial supportPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

This study examined the relation between exposure to violence and posttraumatic stress disorder (PTSD) of adolescents and the moderator effects of resilience, self-esteem and social support. Measures of exposure to violence, resilience, self-esteem, social support and PTSD symptoms were administered on 280 secondary school adolescents randomly selected from Kwara state, Nigeria. Data were analysed using hierarchical multiple regression. Exposure to violence was positively related to PTSD. The relationship between exposure to violence and PTSD was moderated by resilience, self-esteem and social support such that the relationship was weaker for adolescents having higher levels of the moderators. The implications of the findings in terms of providing counselling interventions for the adolescents exposed to violence were discussed.

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)0.007
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.357
Teacher spread0.347 · 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

Citations96
Published2010
Admission routes1
Has abstractyes

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