Individuals and institutions: creating and recreating the Canadian prime ministership
Bibliographic record
Abstract
Le but de cette thèse est d'illustrer l'évolution institutionnel du premier ministre au Canada, avec emphase sur le rôle joué par la psychologie individuel en déterminant les résultats politiques. Ainsi, ce project à deux objectifs complémentaires, soit théoretiques et empiriques. Le premier soutient le pouvoir explicatif supérieur de l'individualisme méthodologique contre les explications alternatifs, qui subsument les acteurs politiques aux dynamiques agrégatifs et l'agence humaine obscur. L'analyse empirique vérifie cette hypothèse en examinant comment l'institution du premier ministre a changé pour reflecter les personnages ce certains premiers ministres: John A Macdonald (1867-1873, 1878-1891), William Lyon Mackenzie King (1921-1930, 1935-1948), et Pierre Trudeau (1968-1979, 1980-1984). Ce thèse constate que chaque homme a crée une institution distincte qui reflectait leurs personnalités individuels, et à leur tour, chaque 'style de premier ministre' a crée le plan suivit par le premiers ministres ultérieurs.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.012 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 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".