Elections, economic outcomes and policy choices in Canada: 1870 – 2015
Bibliographic record
Abstract
In this paper we examine the relationship between economic and electoral outcomes in Canada since Confederation (1867) and the role that economic policy has played in influencing this relationship. The results are consistent with voter concern for the overall performance of the economy in the incumbent’s governing term – the average growth rate of per capita GDP and average unemployment rate – while rejecting the presence of a political business cycle. Evidence of an effect of performance on the stability of the political party system (as measured by party vote volatility) is even stronger. The results also suggest that economic policy has only indirect effects on election outcomes, the most direct being the destabilizing influence of tax increases on party structure. The data also are consistent with the use of policy for countercyclical stability (primarily through spending and deficits), fiscal response to voter turnout, the growth of both spending and deficits under larger governing majorities and compliant monetary response to fiscal deficits.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 | 0.001 |
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 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".