Daniel McDougall pension statement, 1824
Bibliographic record
Abstract
Daniel McDougall (1796-1870) served in the York Militia during the War of 1812. He was a successful businessman who worked as a Justice of the Peace in St. Mary’s, Ontario. He married Hannah Church and they had many children. Their son William was a cabinet minister in Sir John A. MacDonald’s first federal government and was appointed lieutenant-governor of the North-West Territories. The Battle of Lundy’s Lane was a major battle of the War of 1812. On July 25, 1814, the American General Winfield Scott led a brigade of about 1000 men from Chippawa along the Portage Road towards Lundy's Lane. The British had already established their guns on the high ground at Lundy's Lane in anticipation of a possible advance by the Americans. When the British saw Scott's forces in the evening, they opened fire. The battle proved to be the most violent one of the war, with heavy casualties on both sides, and continued into the night. The British General Phineas Riall was captured. The American Generals Brown and Scott were severely wounded and were forced to withdraw. Around midnight, the Americans left, heading towards Chippawa. They withdrew to Fort Erie, with British General Drummond following and beginning a siege of the fort in August.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.111 | 0.051 |
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".