King Alphaâs Song in a Strange Land: Jamaican Migrant and Canadian Host in Torontoâs Transnational Reggae Music Scene, 1973-1990
Bibliographic record
Abstract
Reggae music facilitated a cultural dialogue between Jamaican migrant and Canadian host in Toronto during the 1970s and 1980s. Exchanges flowed across the city’s ethnic frontier, bridging black and white youth together in an ‘oppositional’ and musical movement. While migrants enacted their Jamaican ethnicity in places where reggae was played, many non-Jamaicans satisfied a curiosity in the music of their migrant friends. \nThis study examines the process of migration of people and music as seen from both the migrant and the host’s perspective. It is as much about black Jamaicans as it is about white Torontonians. Twenty Jamaicans and twenty non-Jamaicans were interviewed for this project. Though reggae became an expected part of Toronto’s musical vernacular, the Canadian version meant different things to different people. Indeed, sometimes the only thread that tied the varied experiences together was that Toronto was the place where reggae happened. \nStill, as a hybrid, reggae had rather evolved outside of place. It was a transnational musical form, constantly updated by influences traversing the ‘Black Atlantic’ in an on-going and triangular musical conversation. While Jamaican migrants carried their music with them wherever they went, radio and sound systems broadcast British and North American musics back to Jamaica, informing new musics being created there. Simultaneously, Jamaican music was reimagined by West Indian immigrants, their children and even non-Jamaicans living in Britain’s urban centres and, later on, in Toronto. Yet, as popular as it may have been, Reggae Canadiana never reached the heights it might have and was not nearly as successful as its British counterpart. \nNevertheless, the majority of migrants in this study believe that an association with reggae music gave them a psychological advantage in their own acculturation process. Reggae music also served as a bridge between migrant and host, without which, many non-Jamaicans believe that they would have had little or no contact with the Jamaican-Canadian community in Toronto. The impact of this contact transcended a shared affection for music and engendered a vital multicultural dialogue that is somewhat removed from Canada’s official governmental version of multiculturalism.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".