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Record W2916991574 · doi:10.15353/cjds.v8i1.469

The Healing Power of Art in Intergenerational Trauma

2019· article· en· W2916991574 on OpenAlexvenueno aff
Gloria Swain

Bibliographic record

VenueCanadian Journal of Disability Studies · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicArt Therapy and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsRacismTrope (literature)SociologyPower (physics)Gender studiesMental healthPoliticsConversationPsychoanalysisPsychologyPolitical scienceLawPsychiatry

Abstract

fetched live from OpenAlex

Throughout this paper, I use a political and activist lens to think about disability arts and its potential role in opening up a necessary conversation around how madness is produced by experiences of racism, poverty, sexism, and inter-generational trauma within the Black community. I begin by explaining how the Black body has a history of being the site of medical experimentation. From the perspective of my own experience, I suggest that this history of medical abuse has caused Black people to be suspicious and wary of the healthcare system, including the mental healthcare system, which forecloses discussions around the intersection of Blackness and mental health. I go on to argue that this discussion is further silenced through the trope of the ‘strong Black woman,’ which, in my experience works to perpetuate the idea that Black women must bear the effects of systemic racism by being ‘strong,’ rather than society addressing this racism, and she must not admit the toll that this ‘resilience’ might have on her mental health. I close with a discussion of how my art practice seeks to open up a conversation about madness in the Black community by suggesting that madness is political.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.580
Threshold uncertainty score0.505

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 studies0.0000.000
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 head0.057
GPT teacher head0.299
Teacher spread0.243 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations5
Published2019
Admission routes1
Has abstractyes

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