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Islamic Bioethics: Mental Health in Islam

2024· reference-entry· en· W4405208500 on OpenAlexaff
Simon Dein, Najat Khalifa

Bibliographic record

VenueOxford Research Encyclopedia of Religion · 2024
Typereference-entry
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsQueen's University
Fundersnot available
KeywordsIslamBioethicsConceptualizationMental healthSpiritualityPerspective (graphical)Context (archaeology)MoralityPsychologyReligious studiesSociologyLawPolitical scienceMedicinePsychiatryAlternative medicinePhilosophyTheologyHistory

Abstract

fetched live from OpenAlex

Abstract Muslims see the Prophet Muhammad as an exemplar. Thus, Muslims attempt to emulate his deeds in their own lives through observation of his traditions and the Qurʾanic instructions. Treatment from the Islamic perspective is closely linked to the Islamic system of ethics and law (Shariʿah). Moreover, Islam views mental health in the context of the self as it advocates a close relationship between spirituality, morality, and mental health. While religious Muslims self-report better mental health than nonreligious Muslims, the conceptualization of mental disorders from the Islamic perspective may raise ethical challenges for clinicians who encounter Muslim patients in clinical practice.

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 categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.801
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.004
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 head0.453
Teacher spread0.366 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2024
Admission routes1
Has abstractyes

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