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The impact of political violence on psychosocial functioning of individuals and families: the case of palestinian adolescents

2011· article· en· W1576988263 on OpenAlexaff
Alean Al‐Krenawi, John R. Graham

Bibliographic record

VenueChild and Adolescent Mental Health · 2011
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of CalgaryMemorial University of Newfoundland
FundersFord Foundation
KeywordsPsychosocialHostilityMental healthAggressionPsychologyPsychiatryClinical psychologyPolitical violenceSomaliDepression (economics)PoliticsPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: The impact of political violence on the psychosocial functioning of adolescents and their families was compared for surveyed populations from two regions of Palestine. METHOD: A randomly-selected sample of 971 adolescents (521 from the West Bank and 450 from the Gaza Strip regions, 42% male/57% female) completed scales measuring traumatic event, post-traumatic stress disorder (PTSD), peer relations, mental health, aggression, and family functioning. RESULTS: (1) West Bank participants reported a significantly higher level of exposure to political violence and significantly more aggression, mental health symptoms, problems in family and social functioning; (2) Participants exposed to greater political violence reported higher levels of depression, hostility, paranoid ideation, and PTSD; (3) Economic status and level of parental education were related to reduced levels of mental health symptoms and greater family functioning; (4) There were gendered differences. CONCLUSIONS: The study provides a starting point to begin to compare the experiences and outcomes between Palestinian adolescents in the West Bank and Gaza Strip and a basis for considering implications for service delivery and policy makers concerned with the well being of Palestinian communities.

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)0.001
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 score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
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 head0.029
GPT teacher head0.346
Teacher spread0.317 · 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

Citations56
Published2011
Admission routes1
Has abstractyes

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