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Record W3042790357

Healing in the margins: Art therapy and racial minority clients

2020· dissertation· en· W3042790357 on OpenAlexaboutno aff
Marbella Carlos

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2020
Typedissertation
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipEthnocentrismDiversity (politics)Mental healthArt therapySocial workPsychologyPopulationPsychotherapistCritical race theoryRacismMedicineSociologySocial psychologyPolitical scienceGender studiesLaw
DOInot available

Abstract

fetched live from OpenAlex

This research project is a critical examination and analysis of existing scholarship on how art therapy impacts racial minority clients. Despite growing racial diversity in Canada’s population, therapy continues to be criticized for being ethnocentric, monocultural, and inherently biased against people of colour. As a result, people of colour tend to underutilize mental health services and terminate therapy at an alarming rate. The main objective of this research is to understand how art therapy can be a beneficial, accessible therapeutic approach for racial minority individuals and communities. This paper will use a theoretical research method to identify prominent themes and problems that visible minority populations face as clients and evaluate how art therapy can address these. This research project will consider scholarship from the fields of art therapy, critical race theory, psychotherapy and social work with a focus on texts related to mental health and social justice informed practice.

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)0.001
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 score0.904
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
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 head0.069
GPT teacher head0.307
Teacher spread0.238 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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