The Count de Frontenac attacks Onondaga in Person, with the whole Force of Canada. The Five Nations continue the War with the French, and make Peace with the Dionondadies.
Bibliographic record
Abstract
This chapter details events following Count de Frontenac's seizure of Cadarackui Fort. Count de Frontenac resolved to make the Five Nations feel his resentment at their refusal of his terms of peace. To do so, he assembled all the regular troops of Canada, the militia, the Owenagungas, the Quatoghies of Loretto, the Adirondacks, Sokokies, Nepiciriniens, the Praying Indians of the Five Nations, and a few Utawawas, at Montreal, in June 1696. They marched from la Chine, in the south End of the Island of Montreal, the fourth of July. In retaliation, the Five Nations sent out several parties against Canada. Thus, the war was continued until the Peace of Reswick, by small parties of Indians, on both sides, harassing, surprising, and scalping the inhabitants near Montreal and Albany.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.006 |
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".