Undoing slavery’s anonymity: The politics of identification in twenty-first century Black Canadian poetry
Bibliographic record
Abstract
This essay discusses the language strategies deployed in twenty-first century works by three Black Canadian poets that engage with the archive of slavery (Sylvia D. Hamilton, charles c. smith and M. NourbeSe Philip) and reads them as performing a counter-pedagogy of cruelty against African-descended peoples. The analysis focuses on the politics of identification pursued by these poets in order to bring back the memory of enslaved Black subjects into the realm of the ‘human’, and particularly the recurrent device of naming or renaming as a way to counter one of the most pervasive dehumanizing practices of slavery, the erasure of one’s past and the imposition of anonymity. By means of this linguistic resource they achieve common aims: restoring dignity to the enslaved, constructing an alternative site of memorialization, and dismantling hegemonic narratives of Blackness in the nation.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.049 | 0.054 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".