Resilience and Memory in the Poetics of Africadia: Sylvia D. Hamilton's And I Alone Escaped To Tell You
Bibliographic record
Abstract
Sylvia D. Hamilton’s collection of poems And I Alone Escaped To Tell You (2014) revolves around the vindication of the little remembered legacy of slavery of Africadians – George Elliott Clarke’s neologism to refer to African Canadians from the Maritime provinces – which acts as a metaphor of the silenced history of Black Canadians. To do so, Hamilton relies on memory work through the lens of resilience and, hence, participates in the recent post-trauma paradigm that is intent on highlighting resistance rather than victimhood. Thus, the resilient memory that emerges from the collection dismisses the position of victims for Africadians and, contrarily, focuses on the capacity to ‘bounce back’, to withstand historical adversities, to endure by being malleable and to adapt to conditions of crisis. Simply put, this resilient memory acts in the poems as the dignified exercise to keep on reinstating and vindicating the silenced history of Black Canada.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.023 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".