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Record W4411306306 · doi:10.37634/efp.2025.5.8

The legal institution of justices of the peace: feasibility and risks

2025· article· en· W4411306306 on OpenAlexaboutno aff
S. Nishchymna

Bibliographic record

VenueEconomics Finances Law · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsInstitutionPolitical scienceLaw

Abstract

fetched live from OpenAlex

The paper explores the archaic form of quasi-judicial authority known as the justice of the peace within the context of prospects for introducing the institution of justices of the peace in Ukraine. This initiative is considered as a potential mechanism for optimizing the structure of the judiciary, alleviating the workload of courts of general jurisdiction, and developing alternative procedures for handling minor offences and low-significance legal disputes. The relevance of the topic is substantiated in light of the current shortage of judicial personnel, excessive caseloads, and the need to rationalize public expenditures under martial law. Particular attention is paid to the fragmented implementation of the institution of criminal misdemeanors and the omission of administrative offences of a quasi-criminal nature from reform efforts. Based on a historical and legal analysis of the functioning of justices of the peace in 19th-century Ukraine and a comparative review of models applied in Canada, France, and the United Kingdom, the paper outlines approaches to the possible formal integration of this institution into the Ukrainian legal system. The views of scholars and practitioners regarding the benefits and risks of electing justices of the peace, their potential dependence on local communities and public administration bodies are examined. The paper further analyses the prospective scope of powers of justices of the peace, qualification requirements, and the imperative to adhere to international standards of judicial conduct, particularly the Bangalore Principles. The study concludes that the phased implementation of this institution may be appropriate, provided it aligns with the legal culture of society, ensures procedural efficiency, safeguards impartiality, and prevents the institutional blending of judicial and executive functions.

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)0.011
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0070.034
Scholarly communication0.0120.008
Open science0.0020.007
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.323
Teacher spread0.288 · 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 designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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