Narrating silences : silence, voice and history in the prose of Dionne Brand, M. Nourbese Philip, and Joy Kogawa
Bibliographic record
Abstract
Joy Kogawa's Obasan , M. Nourbese Philip's Looking for Livingstone: An Odyssey of Silence and Dionne Brand's Sans Souci and Other Stories are compared to examine how these fictions explicate the relationship between silence, voice, and language through their revisions of history. Language is problematic to these writers because it is ideologically charged with their non-belonging on the basis of their race and gender. Contradictions in language divide concepts such as silence/voice and past/present and privilege certain ideas over others. The texts studied undertake to resolve their issues with language as part of the process of coming into voice. In various degrees, these texts acknowledge and revalue silence as a defense against a totalizing history and as a means of explicating the condition of language. In addition, the thesis compares how the revisionary projects that these fictions undertake map back to the material reality of the Canadian nation within which they were created.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.023 | 0.033 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".