Bibliographic record
Abstract
Anne of Tim Hortons: Globalization and the Reshaping of Atlantic-Canadian Literature is a study of the work of over twenty contemporary Atlantic-Canadian writers that counters the widespread impression of Atlantic Canada as a quaint and backward place. By examining their treatment of work, culture, and history, author Herb Wyile highlights how these writers resist the image of Atlantic Canadians as improvident and regressive, if charming, folk. After an introduction that examines the current place of the region within the Canadian federation and the broader context of economic globalization, Anne of Tim Hortons explores how Atlantic-Canadian writers present a picture of the region that is much more complex and less quaint than the stereotypes through which it is typically viewed. Through the works of authors such as Michael Winter, Lisa Moore, George Elliott Clarke, Rita Joe, Frank Barry, Alistair MacLeod, and Bernice Morgan, among others, the book looks at the changing (and increasingly corporate) nature of work, the cultural diversification and subversive self-consciousness of Atlantic-Canadian literature, and Atlantic-Canadian writers’ often revisionist approach to the region’s history. What these writers are engaged in, the book contends, is a kind of collective readjustment of the image of the region. Rather than a marginal place stranded outside of time, Atlantic Canada in these works is very much caught up in contemporary economic, political, and cultural developments, particularly the broad sweep of economic globalization.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.051 | 0.017 |
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".