A community built on the pond: Social cohesion, sport tourism and the World Pond Hockey Championships
Bibliographic record
Abstract
Neoliberalism and globalization have contributed to an environment of economic uncertainty in rural Canada, raising concern for the social well-being of its residents. Despite immense challenges, many rural communities possess positive elements of social cohesion that can be used by the community in the pursuit of their communal objectives. This thesis uses social cohesion as a theoretical framework to examine this rural social environment, its relationship with sport tourism and sport's ability to foster social cohesion. Using Plaster Rock, New Brunswick and the World Pond Hockey Championships (WPHC) as a case study, this thesis broadens social cohesion research to include tourists and other visitors to rural regions. In doing so, this thesis demonstrates how the social potential of sport creates a community around the event with its own social cohesion. The residents of the host community participate in the event's activities, which contribute to the achievement the common goals of all stakeholders, local and visiting. This research begins to examine the unique social environment which exists in many rural communities, as well contributes to a better understanding of sport and sport tourism's ability to foster social cohesion in these communities.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".