La dimension régionale du vote économique canadien aux élections fédérales de 1988 à 2000
Bibliographic record
Abstract
Recent works on economic voting have shown that the economy's impact on electoral behaviour could sometimes be mediated by differences in political conditions. This article specifies and tests the mediating role of one such factor, namely regionalism, on economic voting in Canada. The potential effect of two structural factors is tested: the regional configuration of the federal party system (clarity of available alternatives), and the regional structure of the economy. The data used come from the last four Canadian Election Studies (1988 to 2000). The results show that economic voting slightly differs among regions according to the presence or not of strong regional political parties, Quebec being the region where the relationship between the economy and the vote is the weakest. Even more significant differences in economic voting behaviour can be observed between ''have'' and ''have not'' regions, the shape of economic voting in the Atlantic provinces being distinct from the one in Ontario and the West.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| 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".