Changes in identity in Alice Munro’s stories: a sociopsychological analysis
Bibliographic record
Abstract
Alice Munro’s winning of the 2013 Nobel Prize for literature was a surprise only in the sense that no one who writes only short stories has ever won it before. Otherwise, among writers and literary specialists she has long been considered a leading candidate, as she is one of the masters of this complex literary genre, known especially for her probing into the small-town communities of the southern part of the province of Ontario. This is an Anglo-Celtic (English, Scottish, and Irish) society which formed through waves of immigration from the early 19th century as a farmland interspersed with small towns. These apparently dull communities are, as Munro reveals, rich in subtle class distinctions and spoken and unspoken social norms of behavior. Munro has explained how she only gradually understood the richness of the material that her home country had given her, “full of events and emotions and amazing things going on all the time”.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".