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Record W2981724924 · doi:10.1108/jmhtep-03-2019-0013

Mental health of resettled Syrian refugees: a practical cross-cultural guide for practitioners

2019· article· en· W2981724924 on OpenAlexaff
Nadim Almoshmosh, Hussam Jefee Bahloul, Andres Barkil-Oteo, Ghayda Hassan, Laurence J. Kirmayer

Bibliographic record

VenueThe Journal of Mental Health Training Education and Practice · 2019
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcGill UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsRefugeePsychosocialMental healthSyrian refugeesOriginalityContext (archaeology)Work (physics)Value (mathematics)MedicineSociologyPublic relationsPsychologyNursingPolitical sciencePsychiatrySocial scienceEngineeringGeographyLawQualitative research

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to prepare healthcare providers in high-income countries to deal with mental health and psychosocial issues among resettled Syrian refugees. Design/methodology/approach Collaborative work of the authors on a comprehensive review of social context, cultural frameworks and related issues in the mental health and psychosocial well-being of resettled Syrian refugees. Findings A practical guide that emphasizes the importance of considering the social and cultural dimensions of their predicament and highlighting principles that can help clinicians address the unique needs of Syrian refugee patients. Originality/value The content of this paper is inspired by the collaborative work of the authors on a report commissioned by the United Nations High Commissioner for Refugee (UNHCR).

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)0.009
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.087
GPT teacher head0.536
Teacher spread0.449 · 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 designNot applicable
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

Citations26
Published2019
Admission routes1
Has abstractyes

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