Introduction - The Human Rights Revolution in Criminal Evidence and Procedure
Bibliographic record
Abstract
Criminal procedure in the common law world is being recast in the image of human rights. The cumulative impact of human rights laws, both international and domestic, presages a revolution in common law procedural traditions. This is the thematic introductory chapter to Roberts and Hunter (eds), Criminal Evidence and Human Rights: Reimagining Common Law Procedureal Traditions (Hart Publishing, 2012). The edited collection comprises 16 new essays exploring various aspects of the ‘human rights revolution’ in criminal evidence and procedure in Australia, Canada, England and Wales, Hong Kong, Malaysia, New Zealand, Northern Ireland, the Republic of Ireland, Singapore, Scotland, South Africa and the USA. The contributors provide expert evaluations of their own domestic law and practice with frequent reference to comparative experiences in other jurisdictions. Some essays focus on specific topics, such as evidence obtained by torture, the presumption of innocence, hearsay, the privilege against self-incrimination, and ‘rape shield’ laws. Others seek to draw more general lessons about the context of law reform, the epistemic demands of the right to a fair trial, the domestic impact of supra-national legal standards (especially the ECHR), and the scope for re-imagining common law procedures through the medium of human rights. This prefatory essay summarises the main themes and topics developed in each subsequent chapter, and indicates their relationship to the project's overarching concept of 'human rights revolution' and its methodological foundations in 'common law comparativism.'
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".