Bibliographic record
Abstract
This essay discusses constructions of Canadian identity. Throughout the nation's history, many Canadians of European descent have defined themselves in relation to Europe (and the United States), rather than developing a sense of independent national identity. In his writing – both fiction and nonfiction – Robertson Davies, a preeminent late twentieth‐century Canadian writer, evocatively portrays this Euro‐Canadian ‘‘diasporic consciousness.’’ Through an exploration of his Deptford Trilogy, in particular the first and most celebrated novel of the series –Fifth Business (1970) – I analyze Davies's depiction of Euro‐Canadian sensibilities. I also relate Davies's trilogy to the perspectives of other Canadian writers – past and contemporary – which demonstrate similar Eurocentric sentiments. I question why European‐descended Canadians, even those many generations removed from Europe, still cling to their European heritage: why they resist a definition of Canada that is grounded in history and culture native to Canadian soil. In the essay, I evaluate the nostalgia of Euro‐Canadians for a European past. While acknowledging that this nostalgia is in many ways understandable and even inescapable, I also argue that, in order to develop the inclusive and unifying identity that Canada lacks, Canadians of all backgrounds must take more interest in the historical narratives and nuances that make Canadian society complex, unique, and worthy of deep exploration.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.008 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".