Bibliographic record
Abstract
Cyril Dabydeen has lived in Canada for over three decades and is known as a very prolific writer: he has published numerous books of poetry, the most recent one being Discussing Columbus (Peepal Tree Press, 1997), as well as collections of short stories (Black Jesus and Other Stories, Berbice Crossing…). He has written novels (Dark Swirl and Wizard Swami) as well as young adult fiction (Sometimes Hard) and has also been highly praised for editing anthologies: A Shapely Fire: Changing the Literary Landscape and Another Way to Dance. Cyril Dabydeen has been involved in human rights and race relations for years on the Ottawa and Canadian scene. He currently teaches English at the University of Ottawa. In March 2000, he was a juror for the Neustadt International Prize for Literature (University of Oklahoma), and in October 2000, he was a juror for Canada’s Governor General Award for Literature (poetry). He was the Poet Laureate of Ottawa from 1984 to 1987, and in October 2000 the City honoured him with the first Award of Excellence in Writing and Publishing.My Brahmin Days (TSAR publications, Toronto, 2000) is the latest collection of short stories published by the Ottawa-based Guyanese-Canadian writer. Cyril Dabydeen has already read from it several times, at the National Library of Canada launch and at the Canadian Association for American Studies Conference in Ottawa, among others.
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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.039 | 0.011 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.004 | 0.013 |
| Insufficient payload (model declined to judge) | 0.010 | 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".