Bibliographic record
Abstract
"Canadian Policing is a current and comprehensive introduction to the realities of police work in the twenty-first century. The book helps students gain a balanced, real-world, and practical perspective on policing in Canada today by providing engaging coverage of policing history in Canada, the current structure and operation of policing across the country, and contemporary issues facing police departments and policymakers-including crime analysis, crime prevention, performance measurement, police and the media, a diverse society, and policing post-9/11. The impressive author team with experience from the field, research, and teaching, work together to examine the most up-to-date research and theories of policing as well as on-the-ground implementation to give students a well-rounded, realistic understanding of the job. Exciting and relevant examples, controversial topics, "Challenge Your Assumptions" and "Case Study" boxes, as well as end-of-chapter critical thinking questions, all encourage students to engage with the material as they learn about the challenges and successes in Canadian policing. Canadian Policing is the most up-to-date, comprehensive, and relevant representation of policing fundamentals and what is happening in the industry for students." (From publisher description)
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.
How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.257 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".