Making a community : land policy in the Kawartha Lakes
Bibliographic record
Abstract
Between the mid-eighteenth and the mid-nineteenth centuries, the Crown coordinated a revolution in land usage in the Kawartha Lakes, as elsewhere in the colony, through 'civilization' and land redistribution. Attempts to change native society and build settler communities did not quite unfold the way the government intended. 'Civilization' helped the Mississauga farm and taught skills that eased interaction with colonial society, but they continued to produce much of their food by traditional means. Speculation isolated settlers and made land acquisition more difficult, though some speculators provided essential services. Most immigrants bought land privately and many were not able to establish themselves as farmers. Preferential grants were particularly poor at distributing land to settlers and Crown or Clergy Reserves sales were much more likely to transfer property directly to users. The transition to agricultural land usage occurred largely through the state's mediation of conflicting claims to access.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".