The Law of Extradition and Mutual Assistance
Bibliographic record
Abstract
Abstract The Law of Extradition and Mutual Assistance provides a comprehensive and authoritative treatment of the laws covering the extradition arrangements between the UK and other states, as well as international mutual assistance. Since the first edition was published by Cameron May in 2002, the Extradition Act 1989 and the Criminal Justice (International Co-operation) Act 1990 have been repealed and replaced by the Extradition Act 2003 and the Crime (International Co-operation) Act 2003, respectively, and international confiscation is now dealt with under the Proceeds of Crime Act 2002. This second edition has therefore been scrupulously updated and rewritten to take into account all of the legislative changes, and offers a detailed treatment and practical guidance to the new legislation. The new edition has also been expanded to provide comparative coverage on extradition law and practice in other jurisdictions, including the US, Canada, and Australia, and includes a chapter on how the European Arrest Warrant is dealt with in other EU countries. The authors provide an expert commentary and critique of the new legislation and case law, and the book contains all relevant legislation.
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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 | 0.001 | 0.003 |
| 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 | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".