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Record W2776830913 · doi:10.1080/17533015.2017.1413397

“Removing the thorns”: the role of the arts in recovery for people with mental health challenges

2017· article· en· W2776830913 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

VenueArts & Health · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsUniversity of ManitobaDalhousie University
Fundersnot available
KeywordsThe artsMental healthThematic analysisMental illnessStigma (botany)PsychologyNarrativeSociologyQualitative researchVisual artsPsychotherapistPsychiatrySocial scienceArt

Abstract

fetched live from OpenAlex

BACKGROUND: While the arts have long been associated with mental health, the role of self-directed arts participation in recovery has not been fully explored. METHODS: We explored the question: From the perspectives of people living with mental health challenges, how does participation in and exhibiting or performing one's art impact recovery? Six individual interviews and 19 narratives by artists with mental health challenges associated with an arts exhibit were analyzed using inductive thematic analysis. RESULTS: The data are described by the themes providing structure and continuity, (re)creating our personal stories and building community. Novel findings include ongoing engagement in the arts as providing continuity during turbulent times. The role of the arts in advocacy on mental health was highlighted. CONCLUSION: While artists sometimes perceived paternalism in audience members, the arts provided a powerful means of communicating about mental illness, countering stigma and challenging dominant ways of conceptualizing mental illness.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.867
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
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 head0.058
GPT teacher head0.303
Teacher spread0.245 · 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