MétaCan
Menu
Back to cohort
Record W2982857215 · doi:10.30525/978-9934-588-11-2_68

DEPENDENCE OF STAFF EFFICIENCY ON STRESS IN THE WORKPLACE

2019· article· en· W2982857215 on OpenAlex
Tetiana Obelets

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Scientific Conference · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor Market and Education
Canadian institutionsnot available
Fundersnot available
KeywordsRestructuringUnemploymentGlobalizationBusinessLabour economicsDemographic economicsEconomicsEconomic growthMarket economyFinance

Abstract

fetched live from OpenAlex

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

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.999

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.030
GPT teacher head0.247
Teacher spread0.217 · 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