Bibliographic record
Abstract
Revival: An Anthology of Black Canadian Writing, ed. Donna Bailey Nurse. Toronto: McClelland & Stewart, 2006. 384 pp. $29.99 sc. The back cover of newest anthology of black Canadian writing claims quite honestly to celebrate one of our most vibrant, significant, and thriving literary communities, one that holds an increasingly important place within Canadian and contemporary world literature. The emphasis, though none is typographically indicated, should be on here-and-nowness of collection assembled between bright red and black covers, for if Revival is nothing else, it is urgently contemporary. The oldest (and most anomalous) listed print date in book belongs to Claire Harris's 1984 untitled haiku which opens anthology--in prairie dawn/a pheasant calls to its mate/love go go hide (p. 1)--while newest is listed as Lorna Goodison's excerpt of From Harvey River, due out in early 2007. Given lucky accident of Harris's geography and location, and given that all but one of anthology's twenty-nine contributors remain active members of living Canadian literary community, Revival immediately establishes itself as a viable and fresh point of entry into tangible Canadian black writing scene of new millennium. Fortunately, anthology's value to casual reader, aficionado, and literary scholar extends far beyond its topicality. Editor Donna Bailey Nurse's selections (perhaps more than her self-conscious omissions) bring together a pastiche of genres, styles, vocabularies, and histories congruent with identity-politics of what is often dangerously lumped together as the African-Canadian experience. Notably lacking is literary theatre community, hesitantly dismissed by editor in her introduction on grounds of space, budget, and permissions (p. xxii), though notably present are several dub poets and spoken-word artists previously ignored by earlier anthologists. Toronto performance poet and former radio personality Jemeni, for example, brings an unabashed directness to collection that is elsewhere inlaid more reticently. She notes (not without legitimate bitterness) distance at which black writers are held by mainstream when she writes, [u]nless of course it's February/Why then you'll even pay her for her tire./She's a walking talking eleven months of forgiveness for hire (p. 348). Jemeni, along with fellow spoken word artist Motion and poets Shane Book and Wayde Compton, provides a biting edginess and beat that compliments richly austere and intricate prose of writers like Ken Wiwa, Andre Alexis, and Tessa McWatt. To call Revival textured might inadequately touch upon actual depth and breadth of collection as a whole. …
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".