Bibliographic record
Abstract
<JATS1:p>As a short-story writer, Alice Munro has achieved high critical and popular regard in both her native Canada and in the United States. Indeed, Munro has been adopted by the entire English-speaking world as one of its own, and her work has received many awards and honors. In the U.S., she is roundly regarded as one of the best—if not the best—contemporary writers of the short story, and one of the greatest living fiction writers. Here, Brad Hooper takes readers through her fiction, work by work, discussing the themes, forms, techniques, and styles she employs to make her work come alive.</JATS1:p> <JATS1:p>Munro has founded her own brand of the short story: longer than traditionally practiced in the short-story form and encompassing broader time frames. Her stories are primarily character studies that explore the impact of physical and mental isolation in adolescence, middle age, and into elder years. Hooper traces Munro's evolving definition of the short story form and surveys the fiction in an effort to elucidate the works for newcomers and enthusiasts alike.</JATS1:p>
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".