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Record W7096614580

and Redesign QWL Sites

2016· article· en· W7096614580 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicSustainable Industrial Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsJob satisfactionSociotechnical systemJob enrichmentProcess (computing)Job securityJob designPetrochemical
DOInot available

Abstract

fetched live from OpenAlex

QWL programs were introduced at five petrochemical plants in the chemical valley complex in Lambton County, Ontario: three at newly constructed or greenfield sites and two at redesigned, existing sites. A random-sample survey of job enrichment and job satisfaction was conducted among blue-collar workers at each of the QWL sites and at traditional, unchanged petrochemical sites. Comparisons between employees in QWL and traditional sites showed no differences on various aspects of either perceived job enrichment or job satisfaction. However, comparisons between employees at greenfield and redesign sites showed several significant differences. It was concluded that there is greater potential for successful introduction of QWL programs at greenfield sites than at redesign sites and that a job-enrichment ceiling for QWL programs may exist in technologically intensive, continuous process production systems such as at petrochemical plants. Some unanticipated effects of QWL programs were also noted in that employees at redesign sites had lower satisfaction with job security and employees at greenfield sites had lower satisfaction with compensation. Since the early 1950s, a growing number of organizations have experimented with sociotechnical systems (Trist, 1981) and QWL

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.729

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.186
Teacher spread0.173 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2016
Admission routes1
Has abstractyes

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