MétaCan
Menu
Back to cohort
Record W2080311380 · doi:10.1177/0020764004040957

Cross-National Study of Attitudes Towards Seeking Professional Help: Jordan, United Arab Emirates (UAE) and Arabs in Israel

2004· article· en· W2080311380 on OpenAlexaff
Alean Al‐Krenawi, John R. Graham, Yasmin Dean, Nada Eltaiba

Bibliographic record

VenueInternational Journal of Social Psychiatry · 2004
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsCalgary Laboratory ServicesUniversity of Calgary
Fundersnot available
KeywordsNationalityMiddle EastMarital statusMental healthHelp-seekingMedicinePsychologyPolitical scienceImmigrationPsychiatryEnvironmental healthPopulation

Abstract

fetched live from OpenAlex

BACKGROUND: Help-seeking processes provide critical links between the onset of mental health problems and the provision of professional care. But little is known about these processes in the Arab world, and still less in transnational, comparative terms. This is the first study to compare help-seeking processes among Muslim Arab female students in Jordan, the United Arab Emirates and Israel. AIMS: The present study compares the attitudes of Arab Muslim female students from Israel, Jordan and the United Arab Emirates (UAE) towards mental health treatment. METHOD: A convenience sample of 262 female Muslim-Arab undergraduate university students from Jordan, United Arab Emirates (UAE) and Arab students in Israel completed a modified Orientation for Seeking Professional Help (OSPH) Questionnaire. RESULTS: Data revealed that nationality was not statistically significant as a variable in a positive attitude towards seeking professional help; year of study, marital status and age were found to be significant predictors of a positive attitude towards seeking help. High proportions of respondents among the nationalities referred to God through prayer during times of psychological distress. CONCLUSIONS: The discussion considers implications for professional service delivery and programme development. Future research could extrapolate findings to other Arab countries and to Arab peoples living in the non-Arab world.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.010
Threshold uncertainty score0.585

Codex and Gemma teacher scores by category

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

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 head0.043
GPT teacher head0.447
Teacher spread0.403 · 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 teacher head, 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

Citations161
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Social PsychiatrySame topicMental Health Treatment and AccessFrench-language works237,207