A multidimensional critique of the Sport Canada Policy on Women in Sport and its implementation in one national sport organisation
Bibliographic record
Abstract
A multidimensional framework that purports the need to address individual, structural and cultural barriers to gender equity in sport was used as a basis for the deductive analysis of the existing Sport Canada Policy on Women in Sport and related strategies and initiatives of one National Sport Organisation (NSO) between 1986 and 2004. Structural initiatives appeared to be the main emphasis of the Women in Sport Policy, while the NSO's initiatives in response to that policy predominantly focussed on individual barriers. The analysis further revealed five key events that represented a shift in the NSO's overall gender equity strategy over the 18-year period, from an individual to a more structural perspective. One NSO initiative in particular the women's national team represented a multidimensional approach, addressing individual, structural and cultural barriers to gender equity and producing positive results for the NSO.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".