When Procedure Takes Priority: A Theoretical Evaluation of the Contemporary Trends in Criminal Procedure and Evidence Law
Bibliographic record
Abstract
Current legal trends tend to obscure the sharp distinction between substance and procedure. This tendency is manifested,inter alia, as a growing dependence of procedural norms in substantive law; greater flexibility of procedural norms; and growing judicial discretion to deviate from procedural rules. In order to evaluate these contemporary trends, we provide a theoretical analysis of the basic relationships between procedural norms and substantive legal outcomes. This framework reveals the moral commitments underling these modern trends as opposed to the moral foundations of the traditional view that legal decisions should be made under rigid procedural constraints. Focusing on criminal evidence law, the proposed theoretical framework is applied to some of the ongoing legal debates, such as about the admissibility of evidence seized in violation of rights, the exclusion of statistical and character evidence, and the flexibility of the reasonable doubt standard of proof.
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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 | 0.013 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.005 | 0.073 |
| Scholarly communication | 0.016 | 0.023 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.007 | 0.006 |
| 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".