Bibliographic record
Abstract
Abstract This chapter examines the two models of judicial review that exist in the common law countries: the Diffuse Model and the Second Look Model. The Diffuse Model of judicial review originated in the United States and has spread to India, Canada, Australia, the United Kingdom, most of the countries of Latin America, the Scandinavian countries (except for the Netherlands), and Japan. It is premised on the idea that a country’s written constitution is its supreme law and that courts, when deciding cases or controversies that are properly before them, are thus duty-bound to follow the constitution, which is supreme law, and not a contrary statute whenever those two items conflict. Meanwhile, the essence of the Second Look Model of judicial review is that a Supreme or Constitutional Court ought to have the power of judicial review, subject to some kind of legislative power of override. This, it is said, best harmonizes the advantages of a written constitution and a bill of rights enforced by courts with the imperatives of democratic self-government. The underlying goal is to obtain the advantages of both constitutional government and also of democratic government.
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".