Contemporary Issues in Global Criminal Justice
Bibliographic record
Abstract
Contemporary Issues in Global Criminal Justice provides a holistic analysis of modern criminal justice issues, encompassing the pre-trial, investigative, and post-conviction stages of criminal justice in legal settings across the world. The contributors acknowledge and examine the vast array of challenges in global criminal justice, from the role of the International Criminal Court to policing, the integration of technology, and how marginalized groups, such as sex workers and those with addictions, are treated in the courts. With contributions from scholars in England and Wales, New Zealand, Croatia, Spain, the Netherlands, Canada, and The Republic of North Macedonia, this book is not limited to one jurisdiction, and highlights that criminal justice is very much a global issue in a state of crisis. From policing to the courts, it is in urgent need of reform. Without a competent criminal justice system, justice does not exist. This book would be of interest to scholars in the legal, criminal justice, and criminology fields.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.024 | 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".