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)
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".