Peter Williamson, French and Indian Cruelty
Bibliographic record
Abstract
<italic>French and Indian Cruelty</italic> is the autobiographical account of Peter Williamson’s odyssey in colonial North America as an indentured servant, Indian captive, and soldier. Williamson claimed he was kidnapped from Aberdeen as a child in 1743 and sold into servitude in Philadelphia, Pennsylvania. After gaining his freedom, he endured a harrowing captivity among Indians until he escaped and subsequently enlisted in the British army. In 1756 he was taken captive again, this time by a victorious French army and its Indian allies at Oswego on Lake Ontario. When Williamson returned to Britain as a repatriated prisoner of war, he told the story of his American travails in taverns and coffeehouses while dressed as an Indian. This scholarly edition of Williamson’s autobiography separates the fact from fiction in his story and situates it within the cultural history of the eighteenth-century British Empire.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".