Judicial Decision Making In the Supreme Court of Canada: Updating the Personal Attribute Model
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 also to be assessed. We find that since the Court gained substantial docket control, 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 we suggest a new model of attitudinal voting. Résumé. Cet étude cherche de augmenter le savoir courant du le nature politique du Cour suprême du Canada. Nous analysons un ensemble de données non unanime compose de tout décisions publié du Cour suprême entre les années 1949 à 1985. Une enquête précède fait par Tate et Sittiwong (1989) a proposé un modèle des attributs des juges pour la période entre 1949 à 1985. Nous poursuivons laquelle analyse pour prolonger la période du temps jusqu'à 2000, ce que on permettre évalue l'effet du sexe aussi. Nous trouvons que comme le Cour a conquis considérable control du registre, les gendres dossier entendre par le Cour ont changé depuis le période de enquête de Tate y Sittiwong. Pendent le période plus récent les dossiers concernant les droits civiles et libertés sont beaucoup plus nombreux. Nous concluons que possiblement, quelques variables de l'enquête du Tate et Sittiwong soient liées par le temp et nous proposent un modèle neuf des votes attitudinal.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".