Sport in the Black Atlantic: Cricket, Canada and the Caribbean diaspora
Bibliographic record
Abstract
This book outlines the ways in which sport helps to create transnational social fields that interconnect migrants dispersed across a region known as the Black Atlantic: England, North America and the Caribbean. Many Caribbean men’s stories about their experiences migrating to Canada, settling in Toronto’s urban and suburban neighbourhoods, finding jobs, returning home for visits, and traveling to other diasporic locations involved some contact with a cricket and social club. The cricket ground brings black Canadians together as a unified community, not only to celebrate their homeland cultures or assuage the pain of the “racial terror” that unifies the Black Atlantic, but also to allay the pain of aging in the diaspora. Players and spectators corporeal practices, post-game activities, sport-related travel, as well as music, food, meetings, fundraisers, parties, and shared stories are analysed in this text as resources deployed to maintain the Black Atlantic, that is, to create deterritorialized communities and racial identities; A close look at what goes on before, during, and after cricket matches provides insights into the contradictions and complexities of Afro-diasporic identity performances, the simultaneous representation of sameness and difference among Afro-Caribbean, African-American, Black British, Indo-Caribbean and South-Asian groups in Canada. This book describes twenty-one months of ethnographic empirical evidence of how black identities are gendered, age-dependent and formed relationally, with boundary making (and crossing) as an active process in multicultural Canada.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.038 | 0.007 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".