Bibliographic record
Abstract
In a sweeping narrative covering “the sixteen months between December 1773 and mid-April 1775,” Mary Beth Norton's newest book recounts “the unprecedented events that occurred in the English colonies of North America during those months” (p. xvi). The most familiar of these events were the colonial responses to the 1773 Tea Act; the subsequent response to three punitive Coercive Acts in 1774; and the creation and convening of the Continental Congress. Norton's emphasis is unapologetically North American. There is practically nothing in her narrative about British politics and the intricacies of parliamentary law making. Nor is there discussion of any larger imperial context—for example, the desperate need to stabilize Britain's prime instrument of South Asian conquest, the East India Company, or the similarly urgent quest to secure Britain's American possessions in the West Indies, the Ohio Country, and what would become Canada. Instead, she offers readers what is surely the...
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".