Bibliographic record
Abstract
Abstract This introductory chapter discusses how judicial review of the constitutionality of legislation has usually emerged historically for a combination of four reasons. First, judicial review of the constitutionality of legislation is a response to a nation’s need for an umpire to resolve federalism or separation of powers boundary line disputes. The second main cause of the origins and growth of judicial review of the constitutionality of legislation is what can be called the rights from wrongs hypothesis; judicial review very often emerges as a response to an abominable deprivation of human rights. The third major cause is the out-and-out borrowing of the institution of judicial review of the constitutionality of legislation from either the United States’ model; the German Civil Law model; and, most recently, from the Canadian Second Look judicial review constitutional model. The fourth major cause is the existence of a system of checks and balances, which gives Supreme Courts and Constitutional Courts political space to grow in. Revolutionary charismatic constitutionalism can also lead to the growth of judicial review as Professor Bruce Ackerman has explained in an important new book, Revolutionary Constitutions: Charismatic Leadership and the Rule of Law (2019).
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".