(Bio)Aesthetic Geographies and the Governance of Biopedagogical Spect(ato)rs
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.062 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".