At One with the Land: The Domestic Remove—Charles Brockden Brown’s Wieland and Matters of National Belonging
Bibliographic record
Abstract
The idea that where one lives in America affects how one lives and what personal values, politics, and lifestyles one assumes has long been a part of American thought. Writers, moralists, and politicians alike have long mediated on the value of geography in determining lifestyle, and the image of the pastoral idyll has long been proffered as a balm for those wearied by the supposed trials of urban life. Authors of American fiction have historically relied upon the possibilities and associations offered by setting novels on the frontier, in the backwoods, in the suburbs, and at any number of other variations on the idea of a retreat from established urban centres. Prominent examples abound; most notably, in the nineteenth-century, there was Henry David Thoreau’s writing about his time in a small cabin on Walden Pond. In Walden; Or, Life in the Woods (1854), Thoreau espouses the value of eschewing material goods and the trappings of contemporary society (“etiquette and politeness”) in favour of basic physical necessities and solitude. But Thoreau, writing in the 1850s, is clearly and deliberately writing against a whole tradition in American thought that does not see this kind of removal from a highly ordered society as productive. The earliest evidence of this tradition is the famous speech John Winthrop gave onboard ship in 1630, “A Model of Christian Charity” (1838).
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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 | 0.000 |
| Science and technology studies | 0.018 | 0.026 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".