Reconciliation: A Contemplation of the Role of Art Therapy (Réconciliation : une réflexion sur le rôle de l'art-thérapie)
Bibliographic record
Abstract
This article proposes steps to decolonizing art therapy, based on the author's experiences using an Indigenous framework of art therapy developed during her Master's degree at Concordia University. The author also explores ideas of how art therapy can contribute toward reconciliation, inspired by her work with Indigenous communities in Canada. A call to action is proposed to art therapists on an individual level, as well as the profession as a whole, to support the decolonization of art therapy. This includes the development of guidelines for best practice when working with Indigenous populations, through the creation of an Indigenous art therapy circle composed of art therapists who support an ethos of Indigenization.
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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 | 0.031 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.018 | 0.128 |
| Scholarly communication | 0.019 | 0.018 |
| Open science | 0.004 | 0.018 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
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".