‘I am Getting a Considerable of a Canadian they Tell Me’: Connected Understandings in the Nineteenth-Century Quaker Atlantic <sup>*</sup>
Bibliographic record
Abstract
In July 1821 William and Mary Mullet and their eleven children emigrated from the county of Somerset, England to the colony of Upper Canada, British North America. The failure of William’s tannery in the depression that followed the Napoleonic wars led Friends and extended family to raise funds to send the family to Upper Canada where it was hoped that they would prosper. The Mullets settled in the Quaker community of Adolphustown and married into the established Quaker families in the area. About the same time, another branch of the family emigrated from England to Maryland, United States. The family’s correspondence with their English and American relatives along with other personal papers provide a unique window through which to view the experience of migration and British-Quaker identity in the context of the rapidly changing transatlantic Quaker community of the early nineteenth century. In this era of tremendous change, transatlantic identities were reclassified within specific nation-building narratives. As much as these English Friends were shaped by the world they encountered, they influenced the communities in which they settled, helping to create a unique British-Canadian Quaker identity that was similar to, yet distinct from, both its British and American counterparts.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.059 | 0.055 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".