Bibliographic record
Abstract
Provides the first history of the North American farm novel, a genre which includes John Steinbeck's The Grapes of Wrath , Sheila Watson's The Double Hook , and Louis Hémon's Maria Chapdelaine . From John Steinbeck's The Grapes of Wrath and Martha Ostenso's Wild Geese to Louis Hémon's Maria Chapdelaine , some of the most famous works of American, English Canadian, and French Canadian literature belongto the genre of the farm novel. In this volume, Florian Freitag provides the first history of the genre in North America from its beginnings in the middle of the nineteenth century to its apogee in French Canada around the middleof the twentieth. Through surveys and selected detailed analyses of a large number of farm novels written in French and English, Freitag examines how North American farm novels draw on the history of farming in nineteenth-centuryNorth America as well as on the national self-conceptions of the United States, English Canada, and French Canada, portraying farmers as national icons and the farm as a symbolic space of the American, English Canadian, and FrenchCanadian nations. Turning away from traditional readings of farm novels within the frameworks of regionalism and pastoralism, Freitag takes a comparative look at a genre that helped to spatialize North American national dreams. Florian Freitag is Assistant Professor of American Studies at the University of Mainz, Germany.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".