Results and perspectives on policing as part of the national security sector
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
The police are one of the actors involved in ensuring national security. Therefore, the relevance of this article stems from the need to ensure effective performance. The issue of studying the experience of countries in this field is relevant to find the best models to assess the activities of these structures, which will contribute to a better performance of tasks assigned to them by law - this is one of the tools to assess the performance of the police. The aim of the article was to investigate the peculiarities of police performance assessment, thereby identifying practices that can improve the assessment of police performance. The objective was achieved by using dogmatic, statistical, comparative legal methods and a system-structural approach. The authors revealed the peculiarities of police assessment in Ukraine, the USA, Canada, France and the UK. The focus is on the assessment of police performance based on the level of citizens' trust and statistical data. The conclusion is made that citizens' trust in the police is necessary for the effective performance of its tasks.
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 | 0.004 |
| 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