CHAPTER 3 General Population Increase and Decline since 1871
Bibliographic record
Abstract
T he settlement of Northern Ontario occurred over three main expansion phases before the current (fourth) phase of population decline.The frst phase, which was the most rapid and extensive, occurred in the pre-First World War decades, with the population more than doubling each decade from 1871 to 1911, except the 1890s (Table 3.1).The second phase, covering the First World War and interwar decades, saw continuing increase though at a reduced rate, in the range of 25-35% each decade, which was still higher than the rate of population increase in Southern Ontario.In 1941, Northern Ontario reached its peak census share of the Ontario population of 12.0%, or around 456,000 persons.In the third, post-Second World War phase, population growth continued from the 1940s to the 1970s, but at a somewhat lower and declining rate, apart from the boom decade of the 1950s.Individual settlement projects still continued, particularly with resource fnds
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".