Bibliographic record
Abstract
This paper investigates the way in which two 1970s-era novels, Cormac McCarthy’s Child of God and David Adams Richards’s The Coming of Winter , contribute to regionalist movements in Appalachia and the Maritimes. These novels undermine conventional images of the two regions: both present dark and violent portraits of the two spaces that counteract received images of Appalachia and the Maritimes as pastoral, welcoming, and quaint. Although there are few comparative studies between Appalachia and the Maritimes, reading McCarthy and Richards together suggests that there may be connections between the two regions that the political boundary separating them obscures. Resume Cet article explore la maniere par laquelle deux romans des annees 1970, Child of God , de Cormac McCarthy, et The Coming of Winter , de David Adams Richards, ont contribue aux mouvements regionalistes dans les Appalaches et dans les Maritimes. Ces romans contredisent les images traditionnelles des deux regions : les deux presentent des portraits actuels, sombres et violents des deux espaces, qui sont bien loin des idees recues sur les Appalaches et les Maritimes pastorales, accueillantes et paisibles. Bien qu’il n’existe que peu d’etudes comparatives entre les Appalaches et les Maritimes, en lisant McCarthy et Richards, on se rend compte qu’il y a peut etre un rapport entre les deux regions que masquent les frontieres politiques qui les separent.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.026 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".