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Women’s Online Driver! Flexibility and Work Environment to Job Satisfaction: Moderation Effect of General Anxiety Disorder

2023· article· en· W4395098816 on OpenAlexaff
Rozanatul Maroddah, Wahyu Eko Pujianto

Bibliographic record

VenueMartabat Jurnal Perempuan dan Anak · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsModerationFlexibility (engineering)AnxietyJob satisfactionPsychologyWork (physics)Applied psychologySocial psychologyEngineeringManagementPsychiatryEconomicsMechanical engineering

Abstract

fetched live from OpenAlex

Online drivers are one of the alternative jobs in the informal sector. In the development of women's increasingly active roles, work flexibility and work environment are key factors that influence the job satisfaction of female drivers. The purpose of this study was to analyze the relationship between work flexibility, work environment, and job satisfaction in female drivers. In addition, this study was conducted to examine whether generalized anxiety disorder can moderate this relationship. The method used is quantitative method, using purposive sampling technique based on 99 female drivers. Data collection was done through online questionnaire distribution (Facebook, Instagram, WhatsApp). The results of this study indicate that flexibility has no significant effect on job satisfaction, and the work environment has a significant effect on job satisfaction. Generalized anxiety disorder has no significant impact on job satisfaction. While as a moderating variable, generalized anxiety disorder weakens the relationship between flexibility and work environment on job satisfaction.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.805

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.234
Teacher spread0.222 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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