Political parties in Canada: What determines entry, exit and the duration of their lives?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Two margins of political party life in Canada since Confederation (1867) are analyzed—the extensive margin involving entry and exit (together with party turnover or churning) and the intensive margin determining survival length. The results confirm many hypotheses advanced to explain entry and exit—the importance of social and religious cleavage, election institutions, and economic circumstance. More novel are the findings that public election funding and periods with larger immigration flows have reinforced established parties at the expense of entrants and smaller sized parties. The intensive margin uses a discrete hazard model with discrete finite mixtures to confirm the Duverger-type presence of two distinct long-lived political parties surrounded by a fringe of smaller parties. Both parametric and semi-parametric models concur in finding that public funding and higher immigration flows are as successful in extending the life of established parties as in discouraging entry and exit.
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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 it