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Record W7133075366

"What Happens Beyond the Talking": A Critical Policy Analysis of Sport and Recreation Equity Policies in Higher Education

2020· dissertation· W7133075366 on OpenAlexaboutno aff
Shannon Jean Giannitsopoulou

Bibliographic record

VenueTSpace · 2020
Typedissertation
Language
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
FundersDivision of Graduate Education
KeywordsOppressionEquity (law)RecreationExcellenceNormativeHigher educationPolicy analysis
DOInot available

Abstract

fetched live from OpenAlex

This thesis is a critical policy analysis of a Canadian urban university sport and recreation department’s equity policies. Through a documentary analysis and interviews, this research reveals the connection between what equity policies claim to achieve and the (in)equity experienced by students. Findings demonstrate that the policies advance discourses that evince neoliberal values of competition, commodification, and elitism. They also further notions of institutional excellence in equity, while simultaneously lacking a plan to achieve such equity. The study concludes with recommendations for policies rooted in anti-oppression principles that address the needs of marginalized students through structural change, including a measurable action plan. Equity policies should also name publicly histories of oppression and exclusion in Canada as the rationale for institutional commitments to supporting Muslim, transgender, queer, Indigenous, Black, and racialized students who do not identify with Eurocentric cultures of masculine and competitive athletics, or fitness routines revolving around normative bodies.

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)0.024
metaresearch head score (Gemma)0.019
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.757
Threshold uncertainty score0.969

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.019
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0390.077
Scholarly communication0.0240.010
Open science0.0020.005
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0040.000

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 head0.057
GPT teacher head0.441
Teacher spread0.385 · 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
Published2020
Admission routes1
Has abstractyes

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