Bibliographic record
Abstract
Alice Munro is considered by many to be the finest short story writer now working in English. A native of Ontario, Canada, where she presently lives, the first of her (to date) eleven volumes of short fiction, Dance of the Happy Shades , was published in 1968, the most recent, The View from Castle Rock , in 2006. Munro is a rare thing among writers of short fiction, an international bestseller. She is also widely acclaimed in the academy, and her work has been the subject of several critical monographs. Yet despite the attention Munro's stories have deservedly received in recent years, there persists a marked reluctance to deal with them as short stories. Even among enthusiastic readers of her work, one detects a desire to explain away the negative connotations of the ‘short story’ genre-mark. Hence the dust jackets of her books overflow with testimony to the novel-like quality of the stories, their satisfying range and depth and complexity of characterization. It is as though Munro is to be considered a great writer in spite of the fact that she only writes short stories. Munro is not much given to commenting on her own writing, but in an interview in 1983 she made a comment that provides a useful starting point for the student new to her large body of work. Looking back on the style she had adopted in her first collection, she made the following observation: I've never been an innovator or an experimental writer. I'm not very clever that way.[…]
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.106 | 0.029 |
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".