Bibliographic record
Abstract
Ernest Buckler (1908–1984) was a walking paradox. Born in the bookless society of poor, rural Nova Scotia, he earned a BA in mathematics and philosophy at Dalhousie University and an MA in philosophy at the University of Toronto, alongside Hugh MacLennan and Northrop Frye respectively, before going back to the Annapolis Valley to farm by day and write by night. He is best known for his pastoral first novel, The Mountain and the Valley (1952), which garnered as high critical acclaim in the US and Canada as the novels published concurrently by established American writers, notably John Steinbeck’s East of Eden and Ernest Hemingway’s comeback The Old Man and the Sea. The simultaneous publications illustrate the coexistence of early and late modernisms and their correlation to geopolitical space, notably center and margin. Later hailed as a ‘pioneer in Canadian writing’ by Margaret Laurence and a ‘pathbreaker for the modern Canadian novel’ by Margaret Atwood, Buckler nonetheless refracts the interrogations of modernity beyond national borders and connects with writers and thinkers ranging from Ralph Waldo Emerson to James Joyce, Marcel Proust (see Purdham), and Albert Camus.
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 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.008 |
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".