Canadian and American Voting Strategies: Does Institutional Socialization Matter?
Bibliographic record
Abstract
Abstract.This paper uses data from an online voting experiment to examine the impact of institutional socialization on the vote decision process. More specifically, we examine how Canadian and American voters differ in their vote decision processes in two- and four-party elections. Our expectation is that Canadian voters, who are more familiar with multiparty electoral context, will adjust to the increased complexity of the four-party competition by engaging in a more detailed decision process. Alternatively, we expect US voters, who are less familiar with multiparty competitions, will not undertake such an adjustment, perhaps even engaging in a less detailed vote calculus under more complex conditions. Results lend support to our expectations, offering insight into how institutional design and socialization can affect voter decision processes. Résumé.Cet article utilise des données tirées d'une expérience de vote en ligne pour examiner l'impact de la socialisation institutionnelle sur le processus décisionnel menant au vote. Nous examinons en particulier comment les électeurs canadiens et américains diffèrent dans leur processus décisionnel lors d'élections à deux et à quatre partis. Nos attentes sont les suivantes : Les électeurs canadiens, plus familiers avec le multipartisme, s'ajusteront à la plus grande complexité d'une élection à quatre partis en s'engageant dans un processus décisionnel plus sophistiqué. Les électeurs américains, quant à eux habitués davantage au bipartisme, ne feront pas de tels ajustements lorsque le contexte électoral se complexifiera et auront peut-être même tendance à simplifier leur processus décisionnel. Nos résultats tendent à confirmer nos attentes, offrant ainsi un aperçu de la façon dont le contexte institutionnel et la socialisation qui en résulte peuvent influencer le processus décisionnel des électeurs.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| 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 | 0.000 |
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".