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Record W2898386656 · doi:10.7939/r3q81572p

From Containment to Resilience: A Genealogy of the Governance of Mental Abnormality in Canada

2018· article· en· W2898386656 on OpenAlexaboutno aff
Janet M. Phillips

Bibliographic record

VenueUniversity of Alberta Library · 2018
Typearticle
Languageen
FieldPsychology
TopicHistorical Psychiatry and Medical Practices
Canadian institutionsnot available
Fundersnot available
KeywordsAbnormalityResilience (materials science)Corporate governanceGenealogyContainment (computer programming)Political scienceHistoryCriminologyMedicineSociologyBusinessPsychiatryComputer science

Abstract

fetched live from OpenAlex

This dissertation uses a governmentality lens to map shifts in the categorization, problematization, and governance of mental abnormality in Canada, from pre-Confederation times until the present. Focusing in particular on several recent consultations and reports issued by the federal government and the province of Ontario, the dissertation asks: What is novel about how those categorized as mentally abnormal (TCAMA) are framed in recent public transcripts? Are these documents indicative of a paradigm shift in how mental abnormality is understood? If so, what does this mean for the future governance of TCAMA? This dissertation surveys, primarily through a discursive lens, past approaches to the governance of mental abnormality in Canada. Three overarching governing mentalities â containment, medicalization, and deinstitutionalization â are examined. For much of Canadian history the governance of TCAMA was informed by the idea of containment, which relied on technologies such as work therapy, mental testing, and sterilization to isolate lunacy, insanity, and feeblemindedness from broader society. By the mid-twentieth century, mental abnormality was reframed as mental illness, which like other illnesses, was thought to be treatable with surgery and pharmaceuticals. Later, deinstitutionalization emptied out psychiatric hospitals and hospital wards, prescribing community-based treatment programmes in their place. However, these services were never fully installed, resulting in criminalization, poverty, homelessness, and by the early 2000s, a crisis in a deinstitutionalization mentality. The dissertation next deploys a Foucauldian discourse analysis to examine testimonies collected during the Standing Senate Committee on Social Affairs, Science and Technology (SSCSST) (2003-2006) and Legislative Assembly of Ontario (LAO) (2009-2010) investigations into mental illness and mental health. It maps the problems and solutions with Canadaâs mental health system, as identified by seven different groups. Four final reports are then juxtaposed with the preceding testimonies: the LAOâs Navigating the Journey to Wellness (2010); the Ontario Ministry of Health and Long-Term Careâs Open Minds, Healthy Minds (2011); the SSCSSTâs Out of the Shadows at Last (also known as the Kirby Report) (2006); and, the Mental Health Commission of Canadaâs (MHCC) Changing Directions, Changing Lives (2012). The final reports contained dominant prevention and recovery discourses, which the dissertation locates within a proposed fourth mentality: resilience. Resilience is an experimental mentality that centres mental health while deemphasizing mental illness. It informs prevention and recovery, programmes which individualize and responsibilize TCAMA for their own fates. Resilience moves away from either/or categorizations of mental illness to locate everyone on the same mental health continuum. This continuum draws a new line between normal/abnormal, not on the basis of diagnosed mental illness, but on oneâs ability to adapt to, or bounce back, from lifeâs challenges, regardless of social inequities.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score0.856

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.006
Science and technology studies0.0340.036
Scholarly communication0.0110.003
Open science0.0020.007
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.216
Teacher spread0.209 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2018
Admission routes1
Has abstractyes

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