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CRIMINAL LAW AND CRIMINALISTICS PROBLEMS OF LAW ENFORCEMENT AGENCIES ACTIVITY IN ARCTIC REGION

2019· article· en· W2965077517 on OpenAlex
Lev V. Bertovsky, Lev R. Klebanov

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRUDN JOURNAL OF LAW · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArcticLaw enforcementLawThe arcticEnforcementPolitical scienceCriminologySociologyOceanographyGeology

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score0.979

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.077
GPT teacher head0.335
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it