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Record W7028897255

Ideologies of "Greatnessâ and the Producion of Space and Subjects: A Study of the Goldring Centre for High Performance Sport

2016· dissertation· en· W7028897255 on OpenAlexaboutno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2016
Typedissertation
Languageen
FieldMathematics
TopicProbability and Statistical Research
Canadian institutionsnot available
Fundersnot available
KeywordsSpace (punctuation)PoliticsIdeologyGreatnessInvestment (military)
DOInot available

Abstract

fetched live from OpenAlex

This thesis is a study of a contemporary space at the University of Toronto: The Goldring Centre for High Performance Sport (GCHPS). The motto for the GCHPS was “Pursue (your) Greatness”. I explored the ways in which greatness may be connected to the research and practices of the exercise sciences, sports medicine, and athletics. I drew on the theoretical insights of Lefebvre (1991), and scholars of space and sport (e.g., Pronger, 2001; Atkinson, 2009; van Ingen, 2003; Fusco, 2005). I explain the Centre’s ties to the University’s institutional vision for academic and athletic excellence, as well as the provincial and federal government’s investment in sport. I argue that this production is tied to legacies of classism, whiteness, and scientific knowledge/power, and is neglectful of the interests of the broader university community. I conclude by suggesting that scholars must be critical of the socio-cultural and political aspects of spaces and disciplines.

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)0.006
metaresearch head score (Gemma)0.006
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 score0.414
Threshold uncertainty score0.823

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0350.064
Scholarly communication0.0150.005
Open science0.0010.009
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.293
Teacher spread0.265 · 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
Published2016
Admission routes1
Has abstractyes

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