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Record W7117759683 · doi:10.55016/ojs/tsw.v3i2.80270

Epistemic oppression and sites of resistance in mental health systems

2025· article· W7117759683 on OpenAlexaff
Anjali Upadhya-O'Brien

Bibliographic record

VenueTransformative Social Work · 2025
Typearticle
Language
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOppressionMental healthReductionismEquity (law)Resistance (ecology)AppropriationMainstreamPower (physics)Transformative learning

Abstract

fetched live from OpenAlex

The epistemological foundation of Western psychiatric mental health service systems within North America was conceived within colonial and reductionist agendas that perpetuate systemic racism. This epistemological hegemony has been the primary hindrance for transformative social work and the achievement of social justice for racialized services recipients in mental health systems. One of colonialism’s most indispensable tools is epistemic oppression. While many organizations have focused on equity movements (i.e., Equity, Diversity, and Inclusion (EDI) or Anti-Oppressive Practice) to address inequities and oppression, these initiatives have not been effective in challenging the power structures perpetuated by epistemic privilege. The pervasive question that has plagued my social work practice in mental health has been: can epistemic and social justice be realized in mainstream medicalized psychiatric-based systems that are designed to perpetuate existing power structures? This article will help address the complexity of this question through a critical analysis of the presence and impact of epistemic oppression in mental health, its harms, methods of resistance, the appropriation of EDI, and implications for social work 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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
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 head0.126
GPT teacher head0.416
Teacher spread0.290 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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