Titus Simons, Quarter Master, Peters' Corps of "Queen's Loyal Rangers", Burgoyne's campaign, 1777-1812.
Bibliographic record
Abstract
When Lieutenant-General Burgoyne set out on his expedition, "from the side of Canada" in June, 1777, for the purpose of effecting a junction with Sir William Howe at Albany, and thus cutting the rebellion in twain, he was sensible of the importance of enlisting in his service, as he proceeded down the country, those Loyalist inhabitants whom he anticipated would join the Royal Standard." The King has many faithful subjects dis- persed in the provinces," said he, in addressing the Indians on the 2 1st of June.Accordingly, there accompanied him, as well as the French Canadians under De Boucherville, the nucleus, or rather the nucleii, of two regiments of Provincials, of which John Peters, of Hebron, Connecticut, and Ebenezer Jessup, of Stamford, were respectively in command.Jessup's Corps had been sta- tioned at Lachine with the " Royal Yorkers," and joined the army at St. Johns.The uniform of Jessup's Corps was " red, turned up with green."(C. A. B., 158-9.)Peters had been seized and ill-treated the year previous at Hartford and Springfield, and having arrived in Canada in com- pany with the rebel Colonel Bedell, was arrested on suspicion, by Sullivan, at Sorel, but escaping by canoe to St. Johns, he there
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.123 | 0.029 |
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".