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THE JUDICIAL REFORM OF PETER THE GREAT IN THE CONTEXT OF ADMINISTRATIVE TRANSFORMATIONS (1717–1727)

2022· article· en· W4285165427 on OpenAlexaboutno aff
Elena Borodinа

Bibliographic record

VenueUral Historical Journal · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicEuropean Political History Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsJudicial reformPolitical scienceLawAdministration (probate law)Context (archaeology)Quarter (Canadian coin)Judicial activismJudicial reviewIdeologyPoliticsHistory

Abstract

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The judicial reform occupies a special place among other transformations of Peter the Great. Some researchers call it the first attempt to “separate the trial from the administration”. Other scholars believe that the judicial reforms of the first quarter of the 18th century cannot be separated from the management reforms, since the changes in the court and administration were closely related to each other and had common ideological foundations expressed in the works of cameralists. The article is devoted to the analysis of the judicial reform of 1717–1727. The study focuses on the exploration of the organization of the court and “lower” tribunals, originally represented by provincial and city courts. The author characterizes the locations of court and provincial tribunals and considers the main reasons for the creation (or not creation) of judicial districts in provinces. In addition, attention is drawn to the peculiarities of the formation of judicial districts of city judges and judicial commissioners. As a result of the analysis of legal acts and documents of the court’s office, the author concluded that the second provincial reform had a strong influence on the implementation of the judicial reform. Despite the attempts of the Judicial Collegium to distribute judges evenly across the country, judicial transformations spread from the center (St. Petersburg and Moscow) to the southern and eastern periphery. In some cases, the determination of the composition of judges and their placement in judicial districts was inconsistent, which predetermined the partial and then full return of judicial powers to local administrators.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.067
GPT teacher head0.262
Teacher spread0.195 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations2
Published2022
Admission routes1
Has abstractyes

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Same venueUral Historical JournalSame topicEuropean Political History AnalysisFrench-language works237,207