CRIMINAL LAW AND CRIMINALISTICS PROBLEMS OF LAW ENFORCEMENT AGENCIES ACTIVITY IN ARCTIC REGION
Bibliographic record
Abstract
The actual problems of criminal law and criminalistics with which law enforcement agencies in Arctic have been facing are concerned in the present article. Successful development of Arctic region demands struggling against criminality affected by special climate, geographic, ethnic, social, legal and another factors. These circumstances roughly embarrass the combating with criminality in Arctic, taking into account sparse population of the region, remote location of communities from organs of state power, ingenious people alcohol abusing, negative affecting of harsh arctic conditions on mental health of inhabiting person. Being one of the richest recourse region all over the world, Arctic has becoming the stage of competition between arctic states. Upkeeping of order on Russian arctic territory is very important aim under these circumstances. In the article legal regiment of Arctic is concerned and characteristic of Arctic social and economy situation is given. The authors demonstrate structure of Arctic criminality and crimes committed on this territory are analyzed. Special attention is centered on analyzing of ecological crimes committed in Arctic taking into account wealthy of local fauna and environment. The problems of law enforcement criminalistics providing also are attentively analyzed, for example, issues of criminalistics methodic for crime investigation, usage of the new technic tools and devises of criminalistics, interconnection between investigators and detectives. Such interconnection is embarrassed by remote locations islands from mainland. The article is grounded on extensive materials from empiric, scientific and law origins related to criminality existing in the different Arctic countries (USA, Canada, Russia, Scandinavian states). This article is the first one discussing various problems of combatting criminality in Arctic region. In the process of preparing the article authors have come to conclusion that Arctic crimes there committed poses special sort of criminality - “frozen” criminality. Such sort provided by special factors must be explored in the future in order to get success while combating the criminality in Arctic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".