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Record W4386697085 · doi:10.46398/cuestpol.4178.22

Legal regulation of occupational safety and health

2023· article· en· W4386697085 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCuestiones Políticas · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Social Development in Ukraine
Canadian institutionsNutrasource
Fundersnot available
KeywordsLegislationLiabilityNormativeLegislatureOccupational safety and healthDutyWork (physics)LawBusinessPolitical scienceEngineering

Abstract

fetched live from OpenAlex

The aim of the article was to discuss the issues of legal regulation of health and safety in Ukraine. The aim of the research was achieved with the help of general and special methods of scientific knowledge. It was concluded that in the conditions of martial law, the legislative approach to the adoption of new laws, amendments and additions to existing laws should be carried out in accordance with international legal standards, concerning the provision of adequate guarantees for persons exercising the right to work. The analysis of the content of normative legal acts and draft laws led to the development of relevant proposals in connection with the fact that the concept of the profile of the law should reflect a holistic approach to occupational safety and health, with emphasis on measures to prevent occupational accidents; improvement of working conditions (increasing the employer’s liability for violations of legislation in the specified area, imposing on employees the duty to take care of their own safety and the health of others, etc.).

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 score0.963
Threshold uncertainty score0.338

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 studies0.0000.000
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 head0.086
GPT teacher head0.437
Teacher spread0.350 · 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