Bibliographic record
Abstract
The Bradt family came to the Niagara peninsula from Schenectady, New York as United Empire Loyalists. Arent A. Bradt (1732-1796) and his wife Eva Van Antwerp came to Canada with their children, settling in present-day Niagara-on-the-Lake around 1784. This move coincided with the disbandment of Butler’s Rangers, a Loyalist military unit founded by John Butler during the American Revolutionary War. The Butler and Bradt families both came to Canada from Schenectady. John Butler was married to Arent Bradt’s sister Catherine. Both families were granted land in the Niagara peninsula by the Crown for their loyalty. Arent and Eva Bradt brought their five children with them, including Andrew (1755-1830), Margaret (b. 1758), John (1761-1828), Roger (b. 1765) and Peter (1767-1824). Andrew and John Bradt both served in Butler’s Rangers, Andrew as a Captain and John as a Lieutenant. Peter Bradt was the youngest member of the family, being 18 when his family came to Niagara. In 1792 he married Mercy Burtch. They remained in the area and had 12 children, including Peter II (1800-1870). Peter married Jane Clark in 1827. Jane was the daughter of James Clark, clerk of the Legislative Council of Upper Canada from 1793-1806. Peter and Jane had four children who survived to adulthood, Peter III, Martha Jane, George and James.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.010 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.277 | 0.058 |
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".