Bibliographic record
Abstract
When Ethel Wilson published her first novel, Hetty Dorval, in 1947, she was nearly sixty years old. With her following books, she established herself as British Columbia’s most distinguished fiction writer and one of Canada’s best loved and most studied authors. Although she enjoyed and even encouraged her reputation as an unambitious latecomer who wrote for her own pleasure, she was, as David Stouck reveals in this book, a person who took her writing very seriously. Drawing on the Wilson papers held at the University of British Columbia, Stouck provides an important survey of Wilson’s talents while at the same time offering the fullest biography of the author to date. Especially interesting is Wilson’s previously unpublished correspondence with her editor John Gray and with fellow writers such as Mazo de la Roche, Earle Birney, Dorothy Livesay, and Margaret Laurence. Nine short stories are included in this volume, eight of which are previously unpublished and one which is reprinted for the first time in a collection of Wilson’s work.
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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 | 0.000 | 0.002 |
| 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 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.046 | 0.020 |
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".