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Record W4403514304 · doi:10.26522/ssj.v18i3.4077

British Columbia’s Mental Health System: Addressing Systemic Human Rights Issues

2024· article· en· W4403514304 on OpenAlexaffvenueabout
Viviane Josewski, Marina Morrow, Rianna Warkentin, Mohamed Ibrahim

Bibliographic record

VenueStudies in Social Justice · 2024
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsUniversity of British ColumbiaYork UniversityUniversity of Northern British Columbia
Fundersnot available
KeywordsHuman rightsMental healthSystemic riskPolitical sciencePublic administrationBusinessLawEconomicsPsychologyPsychiatry

Abstract

fetched live from OpenAlex

In British Columbia (BC), Canada, mental health reforms over the last decade have moved back and forth between calls for practices that restrict human rights and those that are rooted in equity and social justice. In this article, we explore some of these tensions and their implications for human rights and equity in mental health care by critically analyzing three policies guiding mental health reform in BC using an intersectionality-based policy framework. Specifically, we interrogate the effects of a biomedical and individualized framing of mental health and substance use. We argue that such a framing is buttressed by neoliberal ideology and lays the groundwork for public and professional acceptance of coercive practices with particular consequences for Indigenous and racialized populations. This framing is juxtaposed with a holistic wellness and trauma-informed policy framework anchored by an understanding of the impact of colonization. However, what is missing in both policy framings is a full account of the documented ongoing human rights violations experienced by many people accessing BC’s mental health system. Our analysis shows how applying an intersectionality-based policy framework allows for a deeper exploration of the complex, interlocking systems of power and oppression that give rise to these human rights violations. We conclude with a discussion of the important role that decolonizing and intersectional approaches play for capturing the complexities of systemic inequities and advancing mental healthcare that protects and promotes mental wellbeing and human rights.

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 score0.612
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0060.000
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 head0.121
GPT teacher head0.497
Teacher spread0.376 · 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

Citations5
Published2024
Admission routes3
Has abstractyes

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