BC Salsa : identity, musicianship and performance in Vancouver's Afro-Latin orchestras
Bibliographic record
Abstract
For over twenty-five years, musicians, dancers and singers of Afro-Latin music have maintained an active presence in the culturally diverse music scene of Vancouver, BC. During this time, the music performed and created by this group of artists has undergone dynamic changes in sound and function, reflecting a new transcultural music identity. This music, commonly referred to as salsa, is being created, performed and transformed by musicians of all backgrounds and social classes. Local composers are incorporating a variety of musical influences into their music and assimilating elements of the city’s music cultures. Today, an eclectic mix of musicians in Vancouver are creating new forms of music rooted in the Afro-Latin music traditions, and are establishing a unique contemporary musical scene. At the forefront of salsa’s local history are the Afro-Latin dance bands prominent in the city’s dance community. Their impact on the musicians and local music culture has been paramount and pivotal to the exposure of salsa to a mainstream Canadian audience. One prominent factor in the continued growth of the music has been the influence of the many non—Latino musicians who have assimilated into the salsa community as performers. Their musical and cultural influences have helped push the music in new directions and maintained the music’s relevance within the wider arts community. An ethnography of the Vancouver Afro-Latin music scene has never before been attempted. A nuanced analysis of a global salsa culture such as this, especially one outside of the Latino cultural sphere, parallels the scholarship of Roman Velasquez and Hosokawa, whose insights into the salsa communities of London and Tokyo have highlighted salsa’s global interest and presented it as a truly transnational music culture. In that framework, this study presents a history of this community at a micro level and documents its development and the musicians who shaped it. Salsa in Vancouver today reflects the dynamism and diversity of the city’s cultural landscape. The local dance bands and musicians involved in its creation and performance are reshaping its traditional sound and identity, and helping to redefine salsa as a contemporary musical genre within the global music community.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.027 | 0.005 |
| Scholarly communication | 0.008 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".