Caribbean Literature in Transition, 1920-1970. Volume 2
Bibliographic record
Abstract
The years between the 1920s and 1970s are key for the development of Caribbean literature, producing the founding canonical literary texts of the Anglophone Caribbean. This volume features essays by major scholars as well as emerging voices revisiting important moments from that era to open up new perspectives. Caribbean contributions to the Harlem Renaissance, to the Windrush generation publishing in England after World War II, and to the regional reverberations of the Cuban Revolution all feature prominently in this story. At the same time, we uncover lesser known stories of writers publishing in regional newspapers and journals, of pioneering women writers, and of exchanges with Canada and the African continent. From major writers like Derek Walcott, V.S. Naipaul, George Lamming, and Jean Rhys to recently recuperated figures like Eric Walrond, Una Marson, Sylvia Wynter, and Ismith Khan, this volume sets a course for the future study of Caribbean literature. Covers crucial years in the development of Caribbean literature (the 1920s to 1970s) Revisits key moments in Caribbean literary history to look at them from new perspective Includes major scholars in the field as well as emerging voices
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".