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Record W7133050334

The race to space madness: making respectability through mad sites in Ontario

2003· dissertation· W7133050334 on OpenAlexaboutno aff
Jijian Voronka

Bibliographic record

VenueTSpace · 2003
Typedissertation
Language
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsFraming (construction)ArchitectureRace (biology)Space (punctuation)White (mutation)Ethnography
DOInot available

Abstract

fetched live from OpenAlex

This thesis explores a history of provincial mad carceral sites in Ontario. I argue that these sites work to build respectable and degenerate subjects, as well as contribute to nation building by framing Canada as a benevolent, progressive, and white nation. Through examining the official history and architecture of The Toronto Psychiatric Hospital, The Clarke Institute, The Whitby Hospital, and Queen Street Mental Health Centre, this thesis shows how spaces built to contain madness contribute to meta-narratives of Ontario as civilized. Both the architecture and the various acts of commemoration surrounding these mad sites are analysed as monuments through which official stories are told. At the same time, these sites are used in very material ways to spatially regulate, discipline and control mad bodies. Ultimately, this thesis argues that because projects to spatially regulate madness are never-ending processes, they act to legitimize interventionist policing of mad bodies in Ontario.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.082
Threshold uncertainty score0.596

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0440.041
Scholarly communication0.0090.003
Open science0.0010.007
Research integrity0.0010.002
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 head0.047
GPT teacher head0.384
Teacher spread0.337 · 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
Published2003
Admission routes1
Has abstractyes

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