The Mythology of the Small Community in Eight American and Canadian Short Story Cycles
Bibliographic record
Abstract
Scholarship has firmly established that the short story cycle is well-suited to representations of community. This study considers eight North American examples of the genre: four by Canadian authors Stephen Leacock, Duncan Campbell Scott, George Elliott, and Alice Munro; and four by American authors Sarah Orne Jewett, Sherwood Anderson, John Cheever, and Joyce Carol Oates. My original idea was to discover whether there were significant differences between the Canadian and American cycles, but ultimately I became far more interested in the way that all of the cycles address community formation and disintegration. The focus of each cycle is a small community, whether a small town, a village, or a suburb. In all of the examples, the authors address the small community as the focus of anxiety, concern, criticism, and praise, with special attention to the way in which, despite its manifold failings, the small community continues to inspire longings for the ideal home and source of identity. The narrative feature that ultimately provided the critical framework for the study is the recurring presence of the metropolis in all of the eight cycles. The city, set on the horizons of these small communities, consistently provides a backdrop against which author and characters seem to measure and understand their lives. Always an influence (whether for good or bad), the city’s presence is constructed as the other against which the small community’s identity is formulated and understood. The relationship between small community and city led me to an investigation into the mythology of the small community, a mythology that sets the small community in opposition to the city, portraying the former as the keeper of virtue and the latter as the disseminator of vice. The cycles themselves, as I increasingly discovered, challenge the mythology by identifying how the small community depends, in large part, on the city for self-understanding. The small community, however, as an idea, and a mythic ideal, is never dismissed as obsolete or irrelevant.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.031 | 0.034 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".