The Impact of Cricket on Immigrant Social Inclusion in Northern Ontario Communities
Bibliographic record
Abstract
Abstract: In the Northern Ontario communities of North Bay, Sault Ste. Marie, Sudbury, Thunder Bay, and Timmins, immigrants have organized and run cricket clubs. Using a social inclusion framework, we surveyed players and conducted interviews with players and sponsors to ascertain their perspectives on the impact of cricket on newcomer social inclusion. We find evidence that participation in cricket increases newcomers' sense of social inclusion and social capital, with sponsorship playing a moderating role. Institutional support and the ability to secure sponsorship are limited by the low profile of the sport in Northern Ontario. As teams balance increasing competitiveness with inclusiveness, cricket has the potential to provide opportunities for interculturalism, mutual learning, and cross-cultural understanding. Résumé: Dans les communautés du nord de l'Ontario de North Bay, Sault Ste. Marie, Sudbury, Thunder Bay et Timmins, les immigrants ont organisé et dirigé des clubs de cricket. À l'aide d'un cadre d'inclusion sociale, nous avons interrogé et mené des entretiens avec des joueurs et des commanditaires pour connaître leurs points de vue sur l'impact du cricket sur l'inclusion sociale des nouveaux arrivants. Nous trouvons des preuves que la participation au cricket augmente le sentiment d'inclusion et de capital social des nouveaux arrivants, notamment à travers le rôle modérateur du parrainage. Méconnus dans le nord de l'Ontario, le soutien institutionnel et la capacité d'obtenir des commandites sont ainsi limités pour ce sport. Alors que les équipes sportives tentent de trouver un équilibre entre compétitivité et inclusivité, le cricket devient ce lieu favorisant des échanges interculturels et transculturels, encourageant des apprentissages mutuels.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".