The Trout Creek Community Centre: A space for sport, recreation, and resiliency
Bibliographic record
Abstract
The community of Trout Creek, Ontario, located approximately three hours north of Toronto is home to about 600 residents. In the early 2000’s the community experienced dramatic change in several ways. In three years, a highway bypass drastically changed the economic opportunities in the community; the local school was closed by the regional school board, and; the community was amalgamated with a neighbouring community and municipality. In this presentation, we will discuss a case study examining the role that the management of sport, recreation and the community centre played in the process of community resiliency. Specifically, we will discuss the governance of sport and facility management in the community and how the collective actions of the community were enabled through these activities. We argue that the management of sport and recreation in the community allowed for the expression of characteristics (e.g., leadership, togetherness, and problem solving) identified by Kulig, Edge, and Joyce (2008), which may facilitate community pride and sense of belonging indicative of the expression of a sense of community. Our analysis suggests that sport management in rural contexts may have important implications for the process and development of community resiliency.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.008 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".