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Record W4400525282 · doi:10.1080/26907240.2024.2359751

The Visual Life Story Approach: A Tool for Transformation and Well-Being in Museum Art Therapy With Immigrant Adults (L’approche visuelle du récit de vie : un outil de transformation et de bien-être en art-thérapie muséale auprès d’adultes immigrants)

2024· article· fr· W4400525282 on OpenAlexaffabout
Vera Heller

Bibliographic record

VenueCanadian Journal of Art Therapy · 2024
Typearticle
Languagefr
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueUniversité du Québec à Montréal
Fundersnot available
KeywordsTransformation (genetics)ImmigrationArtHumanitiesHistoryBiologyGenetics

Abstract

fetched live from OpenAlex

The narrative, arts-based research described in this article explores the visual life story approach with a group of immigrant adults (N = 7) of various cultural origins conducted in partnership with the Montreal Museum of Fine Arts (MMFA). The art therapy research examines the joint contribution of life story and artistic creation to enhancing the coherence of the participants’ narrative identities and psychological well-being. The phenomenological, narrative, arts-based method includes in-depth interviews focusing on the participants’ verbal accounts of their lives, followed by 12 art therapy sessions that allowed the embodiment of their lived experience into artworks. Results identify the therapeutic factors that enhance psychological well-being and highlight the integrative function of the visual life story approach. They demonstrate the healing power of art making in the company of others, and its capacity to promote reflexivity and facilitate the exploration of existential themes of universal significance. Ultimately, museum-based art therapy contributes to a heightened sense of well-being and empowerment.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science 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 score0.911
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.232
Teacher spread0.222 · 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
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

Citations2
Published2024
Admission routes2
Has abstractyes

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