Bibliographic record
Abstract
The Handbook to Black Canadian Literature offers a comprehensive overview of the growing and increasingly significant field of Black Canadian literary studies. Including historical and contemporary analyses, the volume is an essential text that maps the field over the almost 200 years of its existence across a range of genres from slave narratives to prose fiction, poetry, theater, dub, and spoken word. It presents Black Canadian literature as encompassing a diverse set of viewpoints, approaches, and practices, as touching every aspect of Canadian territory and life, and as deeply influencing debates and understandings of Black peoples far beyond its borders. The handbook employs an interdisciplinary framework that incorporates literary, historical, geographical, and cultural analyses. The book’s 32 chapters are organized into five sections that chart the literature’s development into a recognizable canon, trace Black literary geographies across Canada from east to west, delineate the literature’s various genres and expressive forms, and honor the writers and thinkers who have influenced the growth of the field. The volume’s range of subject and plurality of perspectives provide an excellent resource for teachers, researchers, and students from multiple disciplines, including Canadian studies and literature, Caribbean studies, global Black studies, hemispheric studies, diaspora studies, history, and cultural studies.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.353 | 0.143 |
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".