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Record W4383652691 · doi:10.36713/epra13743

EMPLOYEE’S ATTITUDE TOWARDS QUALITY OF WORK LIFE

2023· article· en· W4383652691 on OpenAlex

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

VenueEPRA International Journal of Multidisciplinary Research (IJMR) · 2023
Typearticle
Languageen
FieldDecision Sciences
TopicLeadership, Behavior, and Decision-Making Studies
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionWork (physics)PsychologyQuality (philosophy)TurnoverPersonal lifeQuality of working lifePublic relationsApplied psychologySocial psychologyManagementEngineeringPolitical science

Abstract

fetched live from OpenAlex

Life is a mixture which contains all the strands together. A person should have both love and work in life to make it more happy and healthy. Work is an important part of everyone’s day to day life. In a day, on an average everyone spent at least eight to ten hours for work which is a part of our entire life. Human values were given inadequate attention by traditional management. Earlier it was like the employees were used for physical and material needs. The aspect of QWL was first introduced by Davis in 1970s. In 1972 the first International Conference on QWL was held at Toronto. The concept was introduced for reducing employee turnover and employee well being on the services offered by them. Quality of work life refers to the level of satisfaction or dissatisfaction of a job environment for the employees working in an organization. The study attempted to enumerate the satisfaction level of the employees in their current job environment at Apollo. With this information Apollo can strengthen the factors which provide better QWL. In short, the study helped the company to make the work place a pleasant and highly motivating one for employees. KEYWORDS: QWL, Employee attitude, Employee satisfaction, Motivation, Organisation

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)0.033
metaresearch head score (Gemma)0.041
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0040.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.640
GPT teacher head0.615
Teacher spread0.025 · 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