Bibliographic record
Abstract
In American politics, few argue with the idea that leaders matter: in the 2020 American election, the media closely tracked the performance and activities of Joe Biden and Donald Trump, for example, suggesting to us that who they are matters. Voters indicate on their ballot which presidential candidate they prefer, marking an x next to the person’s name, giving further credence to the idea that the individual matters in the process. Contemporary Anglo-Westminster-style democracies have many things in common with the United States, but operate with completely different political systems, and without a direct vote for a specific party leader. What is the relationship between voters and party leaders in these contexts? Do party leaders matter the same way in these countries? Has this relationship changed over time? Are we really seeing the personalization of parliamentary elections, as some scholars have suggested? The personalization literature provides us with mixed evidence of the increasing importance of leaders, and part of the reason for that maybe linked to the lack of comparable data. This paper assesses the role of leaders in the United States as well as four parliamentary democracies (Britain, Canada, New Zealand, and Australia) over time. Combining data from the election studies of these five countries from the 1960 s to the present, the analyses presented here suggest that leaders are not increasingly important to voters over time, but that leaders have always been important to election outcomes. What has changed over time, however, is the way partisans see the leaders of other parties. Partisans are increasingly polarized in their views of opposing party leaders, and this has the potential to change the impact of leaders in the electoral process.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".