Review of <i>Trans.Can.Lit.: Resituating the Study of Canadian\nLiterature</i> Edited by Smaro Kamboureli and Roy\nMiki
Bibliographic record
Abstract
Encompassing an approach to the study of Canadian -literature that resulted in a conference held in Vancouver in 2005, this collection of a preface and thirteen chapters begins with Diana Brydon's keynote address setting up the "superordinates"-Literature, Institutions, and Citizenship-to explore a discourse on Canadian literature's future. That process leads toward "our national literature in global contexts and in dialogue with Indigenous concerns." In effect, Trans.Can.Lit. means translation, transcontinental railroad, travel, trance, and globalization.\nLee Maracle's chapter on Salish thinkers and orators who help their people to see "Ourselves Through Story vs. Western Models" criticizes the Institutions of the diaspora that claim the right to establish dominion over other people's educational and literary values. Dismissing the preponderance of global privilege, she claims the Salish are free to challenge the powerful by claiming their own narrative history which "has created the body of knowledge of the nation and shaped the oral tradition, which then the listeners use to govern themselves." Thus, the past leads to the future.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.012 | 0.028 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.005 |
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".