Bibliographic record
Abstract
Stress in the workplace, ranked by the International Health Organization as one of the major disease of the 21st century, was the subject of a report by the International Labour Organization in 2016.Globalization and technological progress are changing both the enterprises themselves and the relationships that arise in the process of economic activity.The global financial and economic crisis of 2008-2009 has led to increased poverty and unemployment.In 2009, global GDP fell by 2.3 per cent and the unemployment rate reached 199 million people.As a result, to remain competitive, many enterprises have moved to optimization measures: restructuring, mergers, outsourcing and contracting, and mass layoffs.These are all factors that, together with others, contribute to the stress of workers.In addition, the occurrence of stress, in turn, affects the economic performance of the company.Several professional organizations are engaged in studying the problem of workplace stress in the world: World Health Organization, The American Institute of Stress, American Psychological Association, etc.In Ukraine, the problem of stress at the workplace has several characteristic features: inadequate to the efforts and time spent on wages, unstable forms of employment, inconsistency of work and skills or knowledge, overtime work, unstable political and economic situation as a result of hostilities in the East of Ukraine, a large outflow of specialists abroad, the lack of a state approach to solving this problem.That is why the uncertain economic losses from the stress of Ukraine's weakened economy further slow down its growth rate.Thus, stress studies from an economic point of view are necessary to create favourable conditions for economic growth.Any man's life is impossible without stress.Stress is part of our daily experience.In North and South America, according to the 1st Central American Health and Safety Survey, each of the ten workers is continuously experiencing severe stress -12-16%, depression -9-13%, loss of sleep -13-19% of the causes related to working conditions.According to the statistics on injuries and occupational diseases, 14% of the financial assistance for disability in Brazil was due to mental illness, of which 9% were for men and 16.7% for women.Concerning the work-life balance survey, 57% of workers in Canada have experienced high levels of stress in recent years, compared to 54% in 2001 and 44% in 1991 [1].At the same time, 36 per cent of workers were depressed, 31 per cent had reduced sleeping time, and 46 per cent felt physically unwell.At the same time, the number of people who are satisfied with their lives has decreased from 45% in 1991 to 23%.Finally, no more than 75% of workers were absent from work in the 6 months before the survey, mainly due to
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".