Congress's Own: A Canadian Regiment, the Continental Army, and American Union
Bibliographic record
Abstract
We sometimes forget Canada was supposed to be part of the United States. Invading it was one of the first national projects undertaken by the Continental Congress, shortly after establishing the Continental Army. In this well-researched social and military history, Holly A. Mayer brings to life a legacy of both those endeavors: the Second Canadian Regiment, later known as Congress's Own regiment. From the spring of 1776 until the Continental Army was disbanded in the fall of 1783, it saw service in a variety of capacities from skirmishes around Montreal to the British surrender at Yorktown. In an army where all but a few units derived from specific states, it raised questions about Congress's ability to fund and control military forces independently of the states, as well as soldiers' sense of belonging to a nation in the making. Indeed, apart from Canadians, in 1781 Congress designated the regiment as the home for all volunteers from “foreign states.”
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".