"Oil Mania": Colonial Land Policy, Land Speculation, and Settlement in Enniskillen Township, 1830s-1860s
Bibliographic record
Abstract
Geography, plus the economic and social conditions of oil resource extraction, shaped settlement and land speculation in Enniskillen Township in southwestern Ontario from the opening of the township to settlement in 1835 through the “oil boom” of the 1860s. Colonial land policies were intended to encourage settlement by loyal, industrious British subjects, but did not prevent land speculation. During the early stages of the development of the oil industry, the activities of land speculators in the township were part and parcel of the normal workings of capitalism. Land speculation involved both settlement and improvement of land holdings. An analysis of settlement and land speculation in Enniskillen Township over this period demonstrates the continued usefulness of micro-studies in unravelling the nuances of colonial land-granting policies in Upper Canada.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".