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Labour arbitration in Ukraine: current state of legal regulation and prospects for development

2025· article· en· W4413198803 on OpenAlexaboutno aff
Alina Bondarenko

Bibliographic record

VenueUzhhorod National University Herald Series Law · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Studies and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrationCompulsory arbitrationDispute resolutionLabour lawLegislationLawSettlement (finance)EconomicsLaw and economicsBusinessPolitical science

Abstract

fetched live from OpenAlex

The article is devoted to a comprehensive study of labour arbitration as one of the out-of-court methods of labour dispute resolution, analysis of current Ukrainian legislation in terms of organisational and legal support of labour arbitration, and also to the study of foreign countries’ experience in this area of legal regulation with a view to formulating practical recommendations for improving national legislation. The article provides a general description of the institution of labour arbitration, in particular, the main scientific approaches to the definition of the concept of ‘labour arbitration’ and its inherent features are outlined. The author establishes that the organisational and legal framework for the functioning of labour arbitration as one of the ways to resolve collective labour disputes is defined by the provisions of the Law of Ukraine ‘On the Procedure for Settlement of Collective Labour Disputes (Conflicts)’ and the Regulation on Labour Arbitration. The author determines that the procedure for labour arbitration includes the following stages: the parties to a collective labour dispute making a decision to establish labour arbitration and signing a joint agreement; formation of the labour arbitration panel; holding labour arbitration meetings to consider the labour dispute on the merits, collect, examine and analyse evidence; making and announcing a labour arbitration decision; informing the parties to a collective labour dispute and the NMCLU of the labour arbitration decision (by sending it). The article also examines the main provisions of the Draft Law of Ukraine ‘On Collective Labour Disputes’ No. 12034 on labour arbitration, and provides a comparative analysis of the said draft law and the current legislation of Ukraine on the principles of resolving collective labour disputes by labour arbitration. In order to study the positive experience, the author examined foreign practices of legal regulation of labour arbitration on the example of such countries as the United Kingdom, Canada, the United States of America, Sweden, and France. The author identifies the ways to improve Ukrainian legislation in the field of labour arbitration. It is stated that today, in foreign countries, labour arbitration is one of the most effective out-of-court methods of resolving labour disputes, both collective and individual. According to the author, the introduction of labour arbitration for resolving individual labour disputes has its advantages, in particular, unloading the judicial system, prompt resolution of a dispute, ensuring confidentiality in resolving a dispute, etc. The author concludes that with a view to improving national legislation regulating labour arbitration, it is advisable to introduce into the national legal system the experience of foreign countries, in particular, by ensuring voluntary participation of the parties in labour arbitration; establishing the mandatory nature of arbitral awards; defining at the legislative level the provisions on the legal status of a labour arbitrator and the procedures for conducting arbitration; conducting training and information campaigns for employers and employees on the possibilities.

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)0.013
metaresearch head score (Gemma)0.013
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: none
Teacher disagreement score0.018
Threshold uncertainty score0.068

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0030.011
Scholarly communication0.0110.005
Open science0.0030.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
GPT teacher head0.262
Teacher spread0.251 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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