WAGES AND MECHANISM OF ITS PAYMENTS IN UKRAINE AND CANADA: COMPARATIVE ANALYSIS
Bibliographic record
Abstract
The article examines and compares the concept and size of wages in Ukraine and Canada. In the course of the research the definition of the term’s “salary” and “wage” according to the labor legislation of Ukraine and Canada was considered. The analysis and comparison of the definition of the concept of wages contained in the regulations governing labor relations in Ukraine and Canada. The author's own vision of the definition of "salary" is given. It is proved that wages and remuneration are essentially different concepts between which it is inappropriate to equate, because wages should be paid to the employee for the work performed by him, that is, in essence, it should be compensatory, and remuneration is just an incentive or compensatory nature, for example, the reward should be considered gratitude for conscientious work or outstanding achievements in professional activities, etc. It is concluded that at the constitutional level the right of a person to remuneration and related opportunities are more specifically and in detail specified in the Constitution of Ukraine in comparison with the Constitution of Canada where it is reduced to a minimum. An analysis of the level of wages in Ukraine and Canada, based on the size of wages, different professions and areas of activity. It is concluded that wages play an important role between the subjects of labor relations in both Ukraine and Canada. It is noted that there is a huge gap between the salaries of workers in Ukraine and Canada. Attention is paid to the comparison of the minimum wage in Ukraine and Canada. It is noted that it is positive to borrow from the experience of Canada forms of remuneration, this would eliminate the shortcoming of the current The Labor Code of Ukraine and the Law of Ukraine "On Remuneration of Labor" in terms of consolidating forms of remuneration. The approach to the procedure for payment of wages at the state level in Ukraine and Canada is analyzed, it is concluded that the content of the rules governing the mechanism of payment of wages in Canada are similar to those contained in the Labor Code of Ukraine and the Law of Ukraine "On Remuneration of Labor", But there are some differences that are positive in nature and bring some flexibility in the regulation of labor relations regarding the legal regulation of wages, which can be borrowed and used in the labor legislation of Ukraine.
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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".