Review Essay: Sara M. Smyth, Cybercrime in Canadian Criminal Law, 2nd edition (Toronton: Carswell, 2015)
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
Dr. Smyth’s book is ambitious in its scope, seeking to trace the criminology and evolution of information technologies and cybercrime as the basis of current Canadian legislation and jurisprudence. It is intended as a concise student reference text or resource for those who are new to the subject area, studying in criminology and other areas, as opposed to law. A list of concepts and issues for discussion appears at the conclusion of each chapter and there is a glossary of technical (but not legal) terms at the end of the book. It takes a neutral and professorial approach, seeking to identify issues as opposed to expressing opinions, but in the field of cybercrime, this itself involves editorial judgments. It would have been nice to see more of the author’s own views, if not on the substantive issues discussed, then at least with respect to which issues and areas she thinks are most important and why.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.005 |
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