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Record W2041793457 · doi:10.1080/00224540209603911

Mental Health Aspects of Arab-Israeli Adolescents From Polygamous Versus Monogamous Families

2002· article· en· W2041793457 on OpenAlexaff
Alean Al‐Krenawi, John R. Graham, Vered Slonim‐Nevo

Bibliographic record

VenueThe Journal of Social Psychology · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMental healthSocioeconomic statusPsychologyMarital statusClinical psychologyDemographyScale (ratio)PsychiatryGeographyPopulation

Abstract

fetched live from OpenAlex

The authors considered the mental health consequences of polygamy in a sample of 101 Arab Muslim adolescents (19 from polygamous and 82 from monogamous families) at Juarish (Ramla), Israel. The respondents completed the Self-Esteem Scale (SE; M. Rosenberg, 1979), the Brief Symptom Inventory (BSI; L. Derogatis & N. Melsavados, 1983; L. Derogatis & P. Spencer, 1982), and the McMaster Family Assessment Device (FAD; N. B. Epstein, M. N. Baldwin, & D. S. Bishop, 1983). The respondents from polygamous families had lower SE scores, statistically significant higher scores in 2 BSI dimensions, higher scores in all other BSI dimensions, and higher levels of self-reported family dysfunction. The respondents from polygamous families reported lower levels of socioeconomic status, academic achievement, and parental academic attainment. Those variables may have had a more direct impact on mental health than did parental marital status. The data also indicated that perceived family functioning was the best predictor of mental health.

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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.097
GPT teacher head0.393
Teacher spread0.296 · 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

Citations79
Published2002
Admission routes1
Has abstractyes

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