Immigration, Crime and Criminal Justice Systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In a three volume collection Wolf Legal Publishers presents The Transnational Criminology Manual. We are happy with contributions from more than 100 eminent specialists from the field including scholars from, among others, France (Reims University, Department of Justice) Canada (Montreal University), The Netherlands (Tilburg University, Leiden University, Erasmus Medical Centre), USA (New York University, Duke University), Belgium (Free University Brussels) and the UK (University of Exeter, Strathclyde University, Cardiff University), this Encyclopedia provides an elaborate insight in criminology and its specifics. The Transnational criminology manual provides comprehensive coverage of the leading topics in criminology. Whereas the first volume provides the readers with an introduction to criminology, the second and third volume include timely topics such as internet crimes, money laundering, victimization and therapy. This collection is bilingual; English / French, whereas most contributions are presented entirely in English (with French abstracts). The books are of interest for students in criminology, psychology, sociology and law, social workers, judges, attorneys, probation officers, policemen, and many others.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it