Bibliographic record
Abstract
Writers? African, Bluesy, Classical, Disrespectful, Erudite, Fiery, Groovy, Haunting, Inspiring, Jazzy, Knowing, Liberating, Militant, Nervy, Optimistic, Pugnacious, Quixotic, Rambunctious, Seductive, Truculent, Urgent, Vivacious, Wicked, X-ray sharp, Yearning, Zesty. And so, they matter! —George Elliott Clarke An anthology of African-Canadian writing, Black Writers Matter offers a cross-section of established writers and newcomers to the literary world who tackle contemporary and pressing issues with beautiful, sometimes raw, prose. As editor Whitney French says in her introduction, Black Writers Matter “injects new meaning into the word diversity [and] harbours a sacredness and an everydayness that offers Black people dignity.” An “invitation to read, share, and tell stories of Black narratives that are close to the bone,” this collection feels particular to the Black Canadian experience. Reading these stories gave me both joy and grief. —Afua Cooper Collected in these pages are voices that need to be urgently heard, engaged and reckoned with. Black life, Black Canadian life, Black Canadian diasporic life in full colour and full of desire is on offer in Black Writers Matter. —Rinaldo Walcott, professor at University of Toronto and author of Queer Returns: Essays on Multiculturalism, Diaspora and Black Studies Writers Matter is an extraordinary achievement, a bold and loving gathering of Black writing in its sublimity; its stylistic and thematic complexity; its regional, cultural, generational, and experiential differences; its fiercely constellated energy. Whitney French and the talented contributors to this book offer us vital new writings within a two-hundred-year legacy of yearning and truth-telling. Please read this book. —David Chariandy, author of Soucouyant and Brother
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.006 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.195 | 0.069 |
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".