Parties, Candidates, and Constituency Campaigns in Canadian Elections
Bibliographic record
Abstract
Political scientists have traditionally examined the democratic process at the macro level. With its unique micro-level focus, Parties, Candidates, and Constituency Campaigns in Canadian Elections provides the first systematic analysis of the local constituency campaigns that are the basis of elections and democracy in Canada. By taking a detailed look at campaigns in seven B.C. ridings during the 1988 “free-trade” election -- the last under the old three-party system -- Anthony Sayers develops a typology of candidates and campaigns. The dynamics of local associations, nominations, and campaigns, including those of former prime minister Kim Campbell and New Democrat Svend Robinson, as well as key strategic events and the role of the media, are reconstructed from interviews with candidates, campaign managers, party strategists, volunteers, and journalists. The 1993 and 1997 elections are then invoked to show that the insights drawn about the nature of constituency politics remain relevant to the new party system. This important contribution to the study of Canadian elections forcefully argues that knowledge of the dynamics at the local level is essential to a full understanding of Canadian polity, its underlying social basis, and the factors that determine successful election campaigns. As such, Parties, Candidates, and Constituency Campaigns in Canadian Elections will intrigue not only political scientists and students of Canadian politics but also election candidates and party strategists.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".