“Maine and Her Soil, or Blood!”: Political Rhetoric and Spatial Identity during the Aroostook War in Maine
Bibliographic record
Abstract
The Aroostook War was a two-month standoff during the winter of 1839 between Maine and New Brunswick. Overlapping boundary claims had created a disputed territory rich in timber but lacking organization. Troops were mobilized, but war was averted when national leaders in Washington and London recoiled at the prospect of a third war between the two nations. The “war” has been dismissed by contemporary observers and historians alike because of the lack of shots fired. What has largely been overlooked, however, is the large body of political rhetoric churned out by Maine’s Democrats and Whigs during the dispute. In examining this rhetoric, themes of honor, rights, and obligation emerge. While the war drums eventually faded, this rhetoric contributed to a new self-identity in Maine. A “phenomenalized” (or imagined) geography of the state emerged, in which residents of the young state were able to project their values and ambitions upon the undeveloped disputed territory. The author is a Ph.D. candidate in Canadian-American History at the University of Maine and a recipient of the University of Maine Canadian-American Center’s New England, Quebec, and Atlantic Provinces research fellowship. His current research interests include the northeastern borderlands, identity in nineteenth-century North America, and the employment of rhetoric in early republican politics. He resides in Brewer with his wife, Rebeckah, and daughters Lucy and Clara.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.022 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".