Bibliographic record
Abstract
A treasure chest of exceptional stories by one of Canadas classic authorsall now available in one volume. Ernest Buckler, best known as the author of the Canadian classic, The Mountain and the Valley , never achieved the lasting fame he deserved. His first story was published in Esquire , a significant American literary magazine known for publishing leading writers such as Ernest Hemingway, F. Scott Fitzgerald, and Sinclair Lewis. Over the years, nearly forty more of Buckler’s short stories were published in several popular magazines, including Maclean’s where his story “The Quarrel” won first prize for fiction. In Thanks for Listening: Stories and Short Fictions by Ernest Buckler , Marta Dvořák gathers together many of those stories as well as some previously unpublished pieces. At times she has chosen to include the fuller, original versions, and has reinstated some of the lost passages that were cut from stories to fit popular magazine requirements. Ernest Buckler’s writing is rooted in the magic of the ordinary. He celebrates the land and its community, and sensuously recreates a paradise — almost a Garden of Eden. Buckler’s American editors were right in believing that no one evoked the lost world of North Americas agrarian past better than Ernest Buckler.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.221 | 0.148 |
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".