Two Political Worlds? Multi-level Campaign Integration in Canadian Constituencies
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
The purpose of this article is twofold. First, using survey data from Canadian constituency associations, the article explores the extent to which federal and provincial parties engage in cross-jurisdictional coordination. In doing so, this study builds on and empirically tests findings that have been derived from earlier case studies (i.e. Koop, 2011). Far from inhabiting ‘two political worlds’ the data reveal that parties are much more connected than previously thought. Second, the article seeks to uncover why some parties and associations are more integrated than others. Examining organizational design, the article concludes that vertical party integration is not simply an organizational phenomenon, as organizationally truncated parties still engage in modest levels of informal integration. In addition, constituency level factors are also considered. The results of a multinomial logistic regression demonstrate that parties are significantly more integrated in districts where they are electorally viable compared to those where they are weak.
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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 | 0.001 | 0.001 |
| 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