Bibliographic record
Abstract
In a 1985 public lecture in Toronto, Canada, the Barbadian-born George Lamming told the crowd, “Wherever you are, outside of the Caribbean, it should give you not only comfort, but a sense of cultural obligation, to feel that you are an important part of the Caribbean as external frontier.”1Close Lamming’s off-center Caribbean, this extendable Caribbean frontier resulting from a postcolonial and global era of geographical porousness, is today not a new concept. Suffice it to say that Little Haiti in Miami, the Antillean Sarcelles in the Parisian suburbs, and the Haitian diasporic community of Flatbush in Brooklyn attest to the viability of a Caribbean world outside of the archipelago. This book, however, does not address the external frontier of the Caribbean diasporic community of, let us say, Paule Marshall’s Brown Girl, Brownstones or of Sandra Cisneros’s The House on Mango Street. The goal of this study is rather to bring attention to a new, more controversial voice from the Caribbean diaspora: that of the Caribbean individual writing outside of both the internal and external Caribbean frontiers. Creole Renegades looks at immigrant writers who had to—more or less controversially—leave their native environment and, as a consequence, relate to their community from a questionable distance as they reassessed the assumed cultural obligation imposed by their Caribbean, and more broadly, black diasporic cultural background.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.744 | 0.583 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".