Bibliographic record
Abstract
The Korean National Police Agency focuses on training a police officer who could sacrifice themselves for his/her country and citizens with excellent problem solving skills. Especially, KNPA decided to extend the training period and convert training contents into problem solving centered learning in order to train an officer with good personality who could quick adapt to the real field after placement. The Cadet Training Program of RCMP in Canada could be a good role model for KNPA in pursuit of high-quality police training education. Cadets learn core values of the RCMP in training and CAPRA is used as model as a standard for Community Policing Problem Solving and last5ly the IMIM is also used as a framework by which RCMP officers assess and manage risk through justifiable and reasonable intervention. The Cadet Training Program at the RCMP Training Academy is receiving positive evaluations. In order to make Korean National Police Training Program successful, we need to focus on creating core values of KNPA that Korean citizens can trust and problem based learning method should be applied throughout improving of the training method, contents and environment.
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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".