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Record W2011347288 · doi:10.7202/1014348ar

Next Stop, “Sunshine Station”: The Ontario Provincial Board of Health and the Exhibition of Tuberculosis, 1908-1929

2013· article· en· W2011347288 on OpenAlexaffvenueabout
Jenna Murdock Smith

Bibliographic record

VenueScientia Canadensis Canadian Journal of the History of Science Technology and Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicHistorical and Scientific Studies
Canadian institutionsLibrary and Archives Canada
Fundersnot available
KeywordsExhibitionGovernmentalityGovernment (linguistics)Public healthWork (physics)ReflexivityGovernment OfficeOn boardSpace (punctuation)SociologyPublic relationsMedia studiesPolitical scienceVisual artsPoliticsPublic administrationHistoryEngineeringArtMedicineSocial scienceLocal governmentLawNursingArchaeology

Abstract

fetched live from OpenAlex

This article examines the Ontario Provincial Board of Health and its efforts to educate the public on disease and health through visual display. From 1908 to 1929, this government body put on various tuberculosis and public health exhibits that toured the province in a railway car and reached thousands of visitors annually at the Canadian National Exhibition. Throughout this period, officials went from putting an ad-hoc mix of materials on display to designing a sophisticated, dynamic exhibit that attracted thousands of visitors and was one of the most popular spaces on the CNE grounds. Drawing on the later work of Michel Foucault, I argue that the exhibition can be seen as a device of governmentality. Through this highly constructed space, the Board attempted to cultivate a reflexive and self-watching individual who would regulate his/her own behaviour according to certain hygienic standards and, in turn, demand the same conduct of others.

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.026
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 head0.020
GPT teacher head0.222
Teacher spread0.202 · 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

Citations1
Published2013
Admission routes3
Has abstractyes

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