From “Honest Connie” to “Rockpile Rink”: The Political Rise and Fall of Cornelius Rink in 1930s Regina
Bibliographic record
Abstract
Little has been written about Depression-era municipal politics in Canada. This article considers Regina’s experience by examining the turbulent career of its most successful populist politician, Cornelius Rink. He was twice elected mayor (in 1933 and 1934) on the strength of his appeal among Regina’s immigrant and working-class voters. Then in 1935, in the aftermath of the On-to-Ottawa Trekkers’ sojourn in the city and a riot there on 1 July, social democrats and trade unionists with an attractive platform and a more effective organization managed to unseat Rink with the votes of many of those same immigrant and working-class Reginans. Cornelius Rink was Regina’s first populist mayor, but as it turned out he would be its only one.
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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".