Dynamiques partisanes et réalignements électoraux au Canada (1867–2004)
Bibliographic record
Abstract
Dynamiques partisanes et réalignements électoraux au Canada (1867–2004), Pierre Martin, Paris : L'Harmattan, 2005, 302 pages. Les politologues canadiens ont abondamment documenté la plupart des élections fédérales depuis le milieu du 20e siècle par des ouvrages collectifs (en particulier, la série The Canadian General Election of…), des analyses de données provenant d'enquêtes d'opinion publique (les études sur les élections canadiennes) et d'autres contributions. La plupart de ces publications se concentrent sur un ou deux rendez-vous électoraux. L'ouvrage de Pierre Martin est différent puisqu'il adopte une perspective historique englobant toutes les élections fédérales depuis 1867 et rejoint ainsi certains travaux de David Smith, Kenneth Carty et Richard Johnston. Le politologue français examine le cas canadien en y appliquant une version revisitée de la théorie des réalignements électoraux.
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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 | 0.007 | 0.019 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".