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Record W3029144461 · doi:10.1177/1049732320916460

The Wicked Problem of Stigma for Youth Living With Anxiety

2020· article· en· W3029144461 on OpenAlexafffundabout
Roberta L. Woodgate, Brenda Comaskey, Pauline Tennent, Pamela Wener, Gary Altman

Bibliographic record

VenueQualitative Health Research · 2020
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsIntrapersonal communicationStigma (botany)Mental healthPsychologyAnxietySocial stigmaMental illnessPsychiatryClinical psychologyInterpersonal communicationDevelopmental psychologyMedicineSocial psychology

Abstract

fetched live from OpenAlex

Anxiety disorders typically emerge in childhood and, if left untreated, can lead to poor health and social outcomes into adulthood. Stigma contributes to the burden of mental illness in youth. Mental health stigma has been conceptualized as a wicked problem and efforts to address this complexity require a greater understanding of how stigma operates in the lives of youth. Fifty-eight youth in Manitoba, Canada aged 10 to 22 years and living with anxiety took part in the study. Data collection involved in-depth interviews and arts-based methodologies. Youth living with anxiety faced stigma at three levels: (a) interpersonal, (b) intrapersonal, and (c) structural. Stigma held by others, internalized by youth and embedded in social institutions led to compromised relationships with family and peers, low self-esteem and self-efficacy, reduced help-seeking, and discrimination in school, workplace and health care settings. Implications and potential strategies for addressing these levels of stigma are discussed.

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)0.007
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 score0.115
Threshold uncertainty score0.841

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
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 head0.565
GPT teacher head0.618
Teacher spread0.053 · 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

Citations13
Published2020
Admission routes3
Has abstractyes

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