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Record W3107877047 · doi:10.1080/1533256x.2020.1838856

Gatekeeper Perspectives on Substance Misuse Among a Muslim Community in Southwestern Ontario, Canada

2020· article· en· W3107877047 on OpenAlexaffabout
Siham Elkassem, Rick Csiernik

Bibliographic record

VenueJournal of Social Work Practice in the Addictions · 2020
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsVanier CollegeThe King's UniversityMemorial University of Newfoundland
Fundersnot available
KeywordsShameSubstance misuseIslamFaithAddictionSubstance usePsychologyStigma (botany)CriminologyMuslim communityPsychiatrySocial psychologyMental healthGeography

Abstract

fetched live from OpenAlex

This study was conducted during 2018 with 20 community leaders and professionals from within one Muslim community in Canada: Imams, physicians, police officers, social workers, and teachers, who serve as gatekeepers to treatment for Muslims who are seeking support for addiction. Major themes revealed were i) The Impact of Islam on responses to psychoactive substance use and misuse, ii) The influence of family and community on responses to psychoactive drug use and misuse, and iii) Barriers Muslims face in seeking help for substance misuse. The influence of faith was identified as a source of both protection and burden due to different interpretations of Islam and negative cultural beliefs which fuel stigma and shame. The greatest protective factors were also often the reasons preventing individuals from seeking treatment. Recommendations for future action to address this community issue are provided.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.747
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.035
GPT teacher head0.294
Teacher spread0.258 · 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 designQualitative
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

Citations5
Published2020
Admission routes2
Has abstractyes

Explore more

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