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Record W7024277799

Qualitative Study Examining the Role of Stigma in the Help-seeking Behaviours of South Asian Youth Accessing Psychotherapy in Ontario

2021· dissertation· W7024277799 on OpenAlexaboutno aff

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsnot available
Fundersnot available
KeywordsMental healthStigma (botany)Qualitative researchEthnic groupContext (archaeology)Social stigmaHelp-seekingSouth asia
DOInot available

Abstract

fetched live from OpenAlex

South Asian (SA) youth face many mental health challenges yet access psychotherapy less often than other ethnic groups and this may be, in part, due to stigma. The aim of this qualitative descriptive study (N=10) was to understand SA youth’s experiences with stigma when accessing psychotherapy using semi-structured interviews. This level of understanding is sought to learn how the barrier of stigma was overcome. The Cultural Help-seeking Model served as a theoretical framework informing the author’s understanding of the role of stigma within the help-seeking process of SA youth. Six major themes were identified in the data: 1) influence of SA culture; 2) others as barriers to accessing psychotherapy; 3) others as facilitators to accessing psychotherapy; 4) personal attitudes; 5) context of mental health care; and 6) strategies for reducing stigma. The results of this study are used to propose recommendations for social work researchers, educators, practitioners, and policymakers.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.861
Threshold uncertainty score0.277

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.005
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.136
GPT teacher head0.488
Teacher spread0.352 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2021
Admission routes1
Has abstractyes

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