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Record W2284356843 · doi:10.1177/1532708615611704

(Bio)Aesthetic Geographies and the Governance of Biopedagogical Spect(ato)rs

2015· article· en· W2284356843 on OpenAlexafffundabout
Caroline Fusco, Patricia McKeever

Bibliographic record

VenueCulture Studies &#x2194 Critical Methodologies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGeographies of human-animal interactions
Canadian institutionsUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of CanadaHospital for Sick Children
KeywordsNeoliberalism (international relations)BiopowerLeagueCorporate governanceNormativeGender studiesCorporationSociologyMasculinityPolitical scienceLawPoliticsPolitical economyManagement

Abstract

fetched live from OpenAlex

Believing that “place matters” to biopower and to the governance of the new public health, we examine how a children’s hospital setting might be interpreted as a biopedagogical site. We take as the starting point of our analysis a treatment room in Toronto’s Hospital for Sick Children (SickKids)—Canada’s largest pediatric hospital. This particular room, dubbed Cujo’s Crease Satellite Anesthesia Room, was funded by donations from Curtis “Cujo” Joseph, a former Toronto Maple Leafs goaltender in the National Hockey League (NHL). Using trompe l’œil techniques, an artist transformed the room to look like a Toronto Maple Leafs locker room. We examine the range of possible meanings that might be taken up in Cujo’s Crease, paying particular attention to the biopolitical and cultural intersections among medicine, hockey, and biocitizenship. We argue that specific visual signs are employed to mobilize the discourses required by the space: masculinity, hockey as a national civilizing project, normative bodies, health care in a neoliberal age, and the NHL as benevolent care-giving corporation. We concluded that the discursive regimes of Cujo’s Crease are not innocent but are implicated in (bio)economical and biopedagogical imaginaries that render the sick child’s body as an assemblage of neoliberalism’s biocitizenship projects.

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)0.003
metaresearch head score (Gemma)0.038
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.630
Threshold uncertainty score0.986

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.038
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.017
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.244
GPT teacher head0.480
Teacher spread0.236 · 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 designTheoretical or conceptual
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
Published2015
Admission routes3
Has abstractyes

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