Evidence-Based Instruction of Police Use of Force
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
A significant body of applied police research has investigated the effectiveness of various use of force (UOF) training approaches that traditionally cover decision making (i.e., shoot/no-shoot), situational awareness, and resilience. However, there remains a lack of established educational standards for police UOF instructors beyond physical and tactical competence, including pedagogical principles to promote effective learning. The authors aim to provide police agencies and UOF instructors around the world with a pragmatic framework of evidence-based training that promotes learning, retention, and practical application. The chapter begins with an overview of essential skills and knowledge related to UOF followed by identification of various methodological approaches suitable for instruction of both novice and expert police officers. The chapter will also outline a train the trainers instructor course that is currently offered at the Police University College of Finland. This chapter informs consistent and adequate pedagogical training for and by UOF instructors.
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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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