Ideological Consistency and Attitudinal Conf lict
Bibliographic record
Abstract
According to attitudinal theorists, justices on the U.S. Supreme Court decide cases largely on political preferences that fall within one dimension of ideology. The focus of this study is to test whether a unidimensional ideological model explains the voting behavior of Canadian Supreme Court justices (1992—1997). The factor-analytic results in three areas of law, two of which have never been examined in this way in Canada, provide substantial evidence of ideological voting. Yet unlike the U.S. justices of the Rehnquist court, Canadian justices exhibit a much higher degree of ideological complexity. These findings call into question the widely held assumption of unidimensional decision making that is in vogue in the U.S. literature today, and they suggest that attitudinal theorists and comparative scholars must be cognizant that multiple dimensions of attitudinal voting might occur in high courts that are not as ideologically polarized as the U.S. Supreme Court.
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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 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".