Bibliographic record
Abstract
Margaret Atwood called Ernest Buckler “one of the pathbreakers for the modern Canadian novel,” yet he has slipped into relative obscurity. This new book by Marta Dvořák, Ernest Buckler: Rediscovery and Reassessment breaks new ground in Canadian literary studies by analyzing some of Buckler’s works that have remained unknown or unexplored by critics, and by addressing the formalistic innovations of these texts. It allows a general readership to discover — and an international specialized readership to reassess — the wide, even eclectic scope of an author best known for his first novel, The Mountain and the Valley . Marta Dvořák situates Buckler firmly within his cultural and intellectual environment. She argues the importance of his connections with Emerson and the American transcendental milieu, and demonstrates his links with Romantics such as Schopenhauer and Shelley and modernists like Joyce, Faulkner, and Mansfield, as well as intellectuals from Aristotle to Aquinas. She explores his philosophical vision and his complex, adventurous relationship with language. Extracts from Buckler’s published and unpublished material juxtaposed with those from a wide range of writers (from Henry James to Foucault) offer new illuminating perspectives. The progressive structure of the book will draw readers in to discussions on shared concerns: the nostalgia for a vanished past, the relationship between family and community, the rural and the urban, or the questioning of, and coming to terms with, ethics and the social fabric of today’s rapidly changing technological horizon in which traditional values are eroding.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.089 | 0.036 |
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".