ATTITUDINAL DECISION MAKING IN THE SUPREME COURT OF CANADA
Bibliographic record
Abstract
ABSTRACT: This study seeks to add to the current understanding of the political nature of the Supreme Court of Canada. We analyze a data set consisting of all nonunanimous published Supreme Court decisions for the period 1949 to 2000. A prior study by Tate and Sittiwong (1989) suggested a model of judge attributes for the period 1949 to 1985. We build on that analysis by extending the time period to 2000, which allows the impact of gender to also be assessed. We find that since the passage of the Charter of Rights in 1982, the types of cases the Court hears has changed from the period studied by Tate and Sittiwong. In the more recent period, civil rights and liberties cases are much more substantial in number. We conclude some of the variables in the Tate and Sittiwong study may be time bound and suggest a new model of attitudinal voting. 1
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".