Bibliographic record
Abstract
The novel in Canada has developed formally and thematically in relation to changing conceptions of the Canadian identity. From popular romances written in English and French, which dominated literary production in the mid‐eighteenth and nineteenth centuries, to subgenres of literaryromanceandrealismthat proliferated in the late nineteenth and twentieth centuries, the novel's changing structures and themes reflect the variously imperial, bicultural, regionalist, and pluralist conceptions of Canada that have comprised the nation's complex cultural and political life since the publication of the first Canadian novel, Frances Brooke'sThe History of Emily Montague(1769). Renowned Canadian novelists today include Margaret Atwood, Michael Ondaatje, Antonine Maillet, and Anne Hébert. Their popularity in Canada and abroad has reflected widespread readerly interest in Canada's cultural, regional, and linguistic heterogeneity. Earlier novelists, such as John Richardson, Philippe Aubert de Gaspé, Susanna Moodie, Hugh MacLennan, and Gabrielle Roy, among others, garnered popular and critical attention for their works which variously negotiate the formative relationship between individuals and societies at key moments in Canada's sociopolitical development.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.003 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.236 | 0.035 |
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".