The Correlates and Consequences of Anti-Partyism in the 1997 Canadian Election
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article examines why anti-party rhetoric resonates with some citizens, but not with others, and how this affects their electoral behaviour. The data are taken from the 1997 Canadian Election Study. Social background characteristics turn out to have only a very modest effect on anti-party sentiment. Political sophistication is associated with a less critical view of political parties, while economic frustration and perceived system deficiencies make for more negative attitudes, but the key factor is issue alienation from the incumbent party. This is also the most important factor in influencing how citizens express their antiparty sentiment. Anti-partyism is more likely to result in an `anti-party' vote than in abstention. Those who are more involved and more informed are especially likely to work for change within the system.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it