The Modernization of Policy-Making Processes in National Sport Organizations: A Case Study of Athletics Canada
Bibliographic record
Abstract
This article explores the consequences of modernization on the policy-making processes of a singular National Sport Organization: Athletics Canada. In drawing upon the works of Green and Houlihan (2005) as a baseline comparison we examine how the organizations’ policy-making processes have changed over a 10-year period (2002-2012). Specifically, our analysis focuses on the nature and extent of these intra-organizational policy-related changes and how they have influenced the organizations’ decision-making capabilities. The descriptive analysis is informed by empirical data collected from eight in-depth semi-structured interviews with senior Athletics Canada personnel and concentrates on three inter-related themes (i) the development and prioritization of OTP-funded policies and programs; and (ii) the development and prioritization of evidence-based policies and programs, which, in turn, has resulted in (iii) increased inter-organizational relationship strain between Athletics Canada and its key delivery partners. More broadly, our investigation contributes to recent amateur sport scholarship that has sought to better understand how these broader socio-political shifts have influenced the specific decision-making processes of sport organizations.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".