Bibliographic record
Abstract
For the most part, the essays in this special Canadian issue reverberate with an overtly politicised appreciation of literature's transformative potential, as they explore things literary and religious in Canadian writers and writings, from late nineteenth‐century Protestant celebrations of Canada's role in Great Britain's South African War to contemporary Native Canadian representations of the violence perpetrated upon and endemic to their communities. This introduction locates these essays among shifts in Canadian social and cultural identity, from the biculturalism of the French and English, through the multicultural mosaic of twentieth‐century immigration, to today's transcultural kaleidoscope. Three areas of religion and literature work press for greater consideration, each in its own way postcolonial in character: religion, literature and ecology; foregrounding Native Canadian writers and writing in a reassessment of the role of Christian missionaries in the colonial and imperial project; and developing interpretive strategies for articulating comparative studies in Canadian religions and literatures. Snow, North, Wilderness: these stereotypes of Canada suggest a fierce uniformity—but even from earliest times, such generalisations have been inaccurate. To read Canadian literature attentively is to realise how diverse Canadian culture is—how marked by politics and religion, how influenced by differences of language and geography, how preoccupied (apparently) by the empirical world, but how fascinated by the mysterious and the uncertain.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.056 | 0.027 |
| Scholarly communication | 0.019 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".