Carnival, Calypso and Steel Pan: A Bibliographic Guide to Popular Music of the English-speaking Caribbean and its Diaspora, by John Gray
Bibliographic record
Abstract
Carnival, Calypso and Steel Pan is the final Caribbean entry in John Gray's remarkable Black Music Reference Series.It retains the basic organization that served so admirably in the series's previous volumes, with sections on "Cultural History and the Arts," "Caribbean Festival Arts," "Music of the English-Speaking Caribbean and Its Diaspora," "Regional Studies," and "Biographical and Critical Studies."Like its predecessors, it also features helpful lists of sources consulted and relevant libraries and archives, as well as useful appendixes (listing individuals and ensembles by idiom/occupation and country) and comprehensive author and subject indexes.With 3,420 entries, it comes closer than any other bibliographic resource to date to exhaustive coverage of this rich vein of Caribbean music.Following common practice, Gray separates the music of the English-speaking Caribbean into "two principal hubs," Jamaica and Trinidad (p.x).Since Jamaica already received treatment in a volume of its own (the second in the series), the present volume focuses primarily on Trinidad and the other Eastern Caribbean islands, but also gives some attention to other circum-Caribbean locations shaped by English colonization or diasporic extensions of Anglo-Caribbean culture, such as Guyana, Belize, Costa Rica, and Panama.Gray suggests, sensibly, that the two books be used as companion volumes.The biggest section of the book is the one on regional studies, with entries ranging alphabetically from Antigua and Barbuda to the Virgin Islands.Not surprisingly, the largest number relate to Trinidad and Tobago-one of the Caribbean's undisputed musical powerhouses-but researchers will also find many resources for the study of musically less known but equally interesting parts of the region such as Dominica, Grenada, St. Kitts, St. Lucia, and St. Vincent.Within each subsection on a particular island or territory, attention is given not only to local manifestations of pan-regional forms such as calypso, soca, and steel pan music, but also to less widespread genres (for example, parang in Trinidad and punta rock in Belize).The breadth of coverage is impressive.Because of the prominence of Trinidad's annual carnival tradition and its enormous impact on other parts of the Eastern Caribbean (as well as the Caribbean carnivals of New York, Toronto, and London), "Caribbean Festival Arts" turns out to be the second largest section in the book.While providing a wonderfully comprehensive resource for those interested in carni-
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".