Bibliographic record
Abstract
In Duty Bound is an unprecedented look at Upper Canada's forgotten people and the ways in which their lives were by necessity bound in a mutual relationship of duty and obligation to the Upper Canadian state. This neglected area of Canada's history has been preserved, in part, in the form of personal petitions submitted to the lieutenant-governor and legislature for land, government jobs, pensions, pardons and the lessening of court sentences, for compensation for damages done by, or work done for, the state, and for relief. Using these and other previously unexamined government records, J.K. Johnson illustrates that, popular knowledge aside, Upper Canada was not simply a land of self-sufficient farmers and artisans and that many had to turn to and rely on the state for their livelihoods. The major themes of Upper Canada's history, from war and rebellion to immigration and settlement, are well-documented. In Duty Bound fleshes out the lives of ordinary people in Upper Canada and clarifies how several branches of government worked for, or against, the interests of the population.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.032 | 0.015 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".