Bibliographic record
Abstract
Pontiac's War began on 6 May 1763 when a pan-Indian movement attacked several British forts in the Great Lakes region, also known as the pays d'en haut. Pontiac's War emerged following the French defeat in the French and Indian War, as it was known in America. The Ottawa chief Pontiac rallied support from several different Indian tribes to fight in defiance of Major General Jeffrey Amherst's new Indian policies. The Indians' surprise attacks seized eight British forts and placed two others under siege. Amherst responded with enough British forces to maintain a foothold in the pay's d'en haut through the end of 1763. In 1764, the British dispatched Colonel John Bradstreet and Colonel Henry Bouquet into the pay's d'en haut to pacify the hostile Indians and reassert control. The war finally ended when Sir William Johnson, the Indian Superintendent representing George III, negotiated treaties with the major tribes of the pays d'en haut in 1765. This monograph explores Pontiac's War to find elements of operational art in a historical study of a brutal conflict in colonial America. Operational planners will be able to better understand how to apply operational art in future irregular conflicts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".