Bibliographic record
Abstract
In the context of the 2015 meeting of the Federation for the Humanities and Social Sciences in Ottawa, Ontario, two academic associations––the Canadian Association of Commonwealth Literature and Language Studies (CACLALS) and the Association for Canadian and Québec Literatures (ACQL)––hosted a collaborative event to honour the work of Ottawa-based poet Cyril Dabydeen. Cyril read from God’s Spider, which was published by Peepal Tree Press in 2014.ACQL and CACLALS are grateful to the Federation for the Humanities and Social Sciences for their financial support of this event, and I am personally grateful to Dorothy Lane, then president of CACLALS, for her willingness to collaborate in order to bring the reading to fruition.As then Vice-President of ACQL, I was happy to introduce Cyril to a room full of scholars, writers, community members, and friends:“Born in Guyana, Cyril immigrated to Canada in 1970. His forty-five-year residence in Canada coincides neatly with the histories of both ACQL and CACLALS, both founded in the mid 1970s (1975 and 1973, respectively), and the coincidence speaks to the multiple ways in which Canada’s literary cultures have changed in the wake of Cyril’s arrival. Comprising a significant body of short stories, novels, and poetry, Cyril’s writing is particularly intriguing for its meditations on the intersections of Guyanese, Indian, and Canadian identities.As an anthologist, Cyril has also been an active shaper of literary culture: his Shapely Fire (an anthology of Black and Caribbean writing in Canada), Another Way to Dance (which collects the work of Asian poets in Canada), and Beyond Sangre Grande: Caribbean Writing Today have been important tools in the teaching of an increasingly diverse selection of writers in Canadian classrooms and are key compilations of contemporary diasporic writing. In addition to his active career as a poet who is widely recognized for his contributions to Canadian and Caribbean writing, Cyril is also a teacher: he has taught creative writing here at the University of Ottawa for many years.”Jody MasonAssociate ProfessorDepartment of English, Carleton University
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.013 | 0.006 |
| Scholarly communication | 0.015 | 0.009 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.235 | 0.060 |
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".