Transformation of Public Control Over Observance of the Legislation on Work and Health Care in the Conditions of Remote Work
Bibliographic record
Abstract
In the conditions of digitalization, along with standard forms of labor organization (individual and collective), other forms are becoming more widespread: remote and home-based work, as well as work on the flexible working hours.The introduction of remote work within quarantine measures, as a result of the COVID-19 pandemic, has become a mandatory step in order to preserve the health of workers and ensure uninterrupted work.Itrequires the formation and implementation of a legal mechanism labor relations and control.The purpose of this study has development of scientifically substantiated proposals and recommendations on transformational changes of the mechanism of public control over observance of the legislation on work and health care, to open features of functioning of components of such mechanism in the conditions of remote work.To achieve the goal of the study, the methodological principles and approaches of legal science were used.The analysis showed that in generalthe current legislation provides for a number of powers related to the control of trade unions over compliance with labor legislation and the adoption of measures to protect the rights of workers.A positive innovation is the distinction between remote and home work.In order to improve the legal regulation of trade union powers, it is proposed to improve the legal regulation of the collective bargaining sector, to introduce an effective mechanism for trade unions to join the current system of social partnership acts, which will attract new forces to the trade union movement.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".