Bibliographic record
Abstract
"Canadian literature began not in the backwoods of Ontario or the salt flats of New Brunswick, but in the cafes, publishing offices, and boarding houses of late nineteenth-century New York, where writing developed as a profession and where the groundwork for the Canadian canon was laid. So argues Nick Mount in When Canadian Literature Moved to New York." "The last decades of the nineteenth century saw an extraordinary exodus from English Canada, draining the country of half its writers and all but a few of its literary celebrities. Motivated by powerful obstacles to a domestic literature, most of these migrants landed in New York - by the 1890s the centre of the continental literary market - and found for the first time a large, receptive audience and recognition from non-Canadian publishers and reviewers." "Although the expatriates of the 1880s and 1890s - including Bliss Carman, Ernest Thompson Seton, and Palmer Cox - were recognized for their achievements in Canada, the domestic literature they themselves spurred into existence rekindled a nationalist imperative to distinguish Canadian writing from other literatures, especially American. Thought to lack the 'spirit of the soil,' most of the work of these writers was slowly eliminated from the emerging English Canadian canon. When Canadian Literature Moved to New York is the story of these expatriate writers: who they were, why they left, what they achieved, and how they changed Canadian literary history."--BOOK JACKET.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.034 | 0.008 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.060 | 0.007 |
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".