Ideological influences on governance and regulation: The comparative case of supreme courts
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
Abstract A key influence on governance and regulation is the ideology of individual decisionmakers. However, certain branches of government – such as courts – while wielding wide ranging regulatory powers, are expected to do so with no attitudinal influence. We posit a dynamic response model to investigate attitudinal behavior in different national courts. Our ideological scores are estimated based on probability models that formalize the assumption that judicial decisions consist of ideological, strategic, and jurisprudential components. The Dynamic Comparative Attitudinal Measure estimates the attitudinal decisionmaking on the institution as a whole. Additionally, we estimate Ideological Ideal Point Preference for individual justices. Empirical results with original data for political and religious rights rulings in the Supreme Courts of the United States, Canada, India, the Philippines, and Israel corroborate the measures' validity. Future studies can utilize Ideological Ideal Point Preference and the Dynamic Comparative Attitudinal Measure to cover additional courts, legal spheres, and time frames, and to estimate government deference.
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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 | 0.000 | 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 | 0.002 | 0.002 |
| 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