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Obsessive-Compulsive Disorder and Cultural Issues

2023· book-chapter· en· W4385937967 on OpenAlexaff
Yoon Hee Yang, Richard Moulding, Maja Nedeljkovic, Elham Foroughi, Guy Doron, Michael Kyrios

Bibliographic record

VenueOxford University Press eBooks · 2023
Typebook-chapter
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsSTART Clinic
Fundersnot available
KeywordsReligiosityObsessive compulsivePsychologyPresentation (obstetrics)Clinical psychologyCultural issuesCultural diversityPsychiatrySocial psychologyMedicineSociologyAnthropology

Abstract

fetched live from OpenAlex

Abstract This chapter discusses the cross-cultural understanding of obsessive-compulsive disorder (OCD). Epidemiological studies suggest a reasonably consistent prevalence of OCD around the world. The role of culturally influenced factors (such as religiosity and beliefs) in the presentation of OCD is also considered, with religion being considered particularly important in the presentation of OCD, although not in its prevalence per se. The influence of cultural factors on help-seeking behaviors and its role in assessment (including misdiagnosis) is considered. The importance of culture for treatment is also discussed, including the role of religious factors, along with other issues relating to working with clients from minority cultures. Limitations of the literature base are discussed, particularly the lack of non-Western studies and the lack of comparative cross-cultural studies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.976
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
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 head0.025
GPT teacher head0.266
Teacher spread0.241 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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