The Hudson River Valley Loyalists in British North America: Connection, Community, and Continuity
Bibliographic record
Abstract
The American Revolutionary War brought tremendous pain and suffering to Loyalists in New York's Hudson River Valley. They endured violence, persecution, and dislocation. When the war ended, thousands of Loyalists chose to leave their homes for a new life in British North America (Canada). As a civil war, the Revolution attempted to dissolve existing community bonds. But the Hudson Valley Loyalists show that many relationships endured despite the conflict, and that instead these social webs remained central to how they found their way in the postwar British Empire. They settled near one another in exile, assisted each other when applying for postwar compensation, shared similar political philosophies in provincial politics, maintained contact with family in New York, and even intermarried. Individual relationships and community were central to how the Hudson Valley Loyalists rebuilt their lives after a violent civil war. In exile, they created a social web consisting of Loyalists, their children, American citizens, and Late Loyalists, that bound them for several generations.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.007 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".