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On planning the Special issue, “The Stress Check System”—From the viewpoint of the process of the stress check system establishment

2016· article· en· W2607147078 on OpenAlexaff
Teruichi Shimomitsu

Bibliographic record

VenueStress Science Research · 2016
Typearticle
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsHealth Research Foundation
Fundersnot available
KeywordsProcess (computing)Stress (linguistics)Computer scienceProcess managementEngineeringProgramming languageLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

The Brief Job Stress Questionnaire (BJSQ) developed by us in the year 2000 has been widely used in the workplace.The BJSQ consists of three factors; Job stressors, psychological stress reactions and social supports.The government which felt uneasy about deterioration of mental health in a workplace worked out a new policy; the Stress Check System that the BJSQ was utilized.This system is aimed for the primary prevention of mental health disorder, which is linked to remind the worker of his/her own condition of stress and to improve of the workplace environment, and is thought to be an advanced policy.However, various problems are left in this system.There are in particular some problems that should be improved in use this system, such as the choice of the person of high stress.In this special issue, three experts in the field of the occupational health report the problems of the system.

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 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)0.014
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Open science
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.399
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0080.003
Scholarly communication0.0000.000
Open science0.0060.002
Research integrity0.0000.002
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 head0.069
GPT teacher head0.456
Teacher spread0.387 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2016
Admission routes1
Has abstractyes

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