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Solution of the Personnel Issue in the City Police of the Russian Empire at the End of the 18th – the First Qarter of the 19th Centuries: Normative and Legal Regulation

2022· article· en· W4313361579 on OpenAlexaboutno aff
Sergey Chikov

Bibliographic record

VenueIzvestia of Smolensk State University · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Regulatory Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEmpireQuarter (Canadian coin)LegislationLawOfficerNormativeStaffingHistoriographyOrder (exchange)Promotion (chess)JurisdictionPolitical sciencePublic administrationSociologyHistoryPoliticsBusiness

Abstract

fetched live from OpenAlex

The article analyzes the evolution of the legislation of the Russian Empire
 in the field of personnel policy in the city police of the declared period. When
 considering the degree of the problem under study, special attention is paid to
 modern historiography. The source base of the study is represented mainly by the
 legal acts of the Russian Empire at the end of the 18th – the quarter third of the
 19th centuries.
 The analysis of legal documents allowed the author to conclude that the
 dynamics of personnel policy in the field of work of city police in the late 18th –
 first quarter of the 19th centuries were aimed at strengthening public order and
 security. At the same time, the maintenance of the city police was shifted to the local authorities. A special role in the appointment of officer ranks in the city
 police was played by the Committee of August 18, 1814.
 It is noted that the following circumstances had an inhibitory effect on the
 implementation of an effective personnel policy in the field of public order.
 Firstly, the class structure of society limited the opportunities for recruiting and
 promotion of people from the unprivileged classes, which was also reflected in
 the different approaches to working with officers and lower ranks. Secondly, the
 solution to the problems of the city police was seen in increasing its staffing, and
 not in strengthening its material base, raising salaries, improving training and
 retraining of personnel.

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 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 categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.687
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.008
GPT teacher head0.202
Teacher spread0.194 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueIzvestia of Smolensk State UniversitySame topicLegal and Regulatory AnalysisFrench-language works237,207