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Record W4401787312 · doi:10.1111/asap.12419

Coping with the stigma of mental illness: An interpretive descriptive study of out‐patients in a public mental health hospital in Ghana

2024· article· en· W4401787312 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAnalyses of Social Issues and Public Policy · 2024
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsToronto Metropolitan UniversityLondon Health Sciences CentreWestern UniversityUniversity of Windsor
Fundersnot available
KeywordsMental illnessPsychologyMental healthCoping (psychology)Stigma (botany)SecrecyPsychiatryClinical psychologyPublic healthSocial psychologyMedicineNursing

Abstract

fetched live from OpenAlex

Abstract Stigma reduces the status of individuals from full social acceptance, motivating the stigmatized person to find ways to cope with the perceived threat as much as possible. The present study explored the experience of dealing with a mental illness daily within the public space. We applied an interpretive description method using a semi‐structured interview guide to elicit subjective responses from 12 purposefully recruited outpatients. Study participants described various ways through which individuals coped with their illness, including secrecy, avoidance/withdrawal, relaxation techniques, confrontation, ignoring the stigmatizing agent, ingroup comparisons, and engaging in diversion activities. The participants' observations suggest they were unhappy about how society perceived and treated them. To deal with stigma, multifaceted approaches of active engagement with the public, healthcare providers, policymakers, and government are needed to mitigate the phenomenon.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.063
GPT teacher head0.449
Teacher spread0.386 · 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