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Record W7079444115 · doi:10.26108/fd12-jf45

Workplace incivility and organizational outcomes: Is the quality of social relationships at work important for employee attitudes, behaviours, and mental health?

2010· article· en· W7079444115 on OpenAlexaboutno aff

Bibliographic record

VenueAcadiaU-DEV · 2010
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsIncivilityJob satisfactionCivilityPsychological interventionQuality (philosophy)Organizational cultureJob performancePerceptionOrganizational commitmentMental health

Abstract

fetched live from OpenAlex

Workplace incivility is a relatively recently explored social phenomenon. The current study aimed to support previous findings indicating that workplace incivility is negatively related to employee and organizational well-being. This study expanded the evaluation of workplace incivility to include supervisor, coworker, and instigated incivility as separate constructs of workplace incivility. Nurses in Ontario and Nova Scotia completed questionnaires assessing their perceptions of workplace incivility, job satisfaction, turnover intentions, mental health, and manageable workload. Factor analysis results indicated that supervisor, coworker, and instigated incivility were indeed separate constructs. Hierarchical multiple regressions confirmed that supervisor and coworker incivility were significant predictors of job satisfaction, turnover intentions, employee mental health symptoms, and instigated incivility. Furthermore, job satisfaction mediated the relationship between workplace incivility and turnover intentions. The findings have implications for research and interventions to improve employee communication and develop an organizational culture with clear norms of civility and respect in the workplace.

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)0.001
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 score0.037
Threshold uncertainty score0.464

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.037
GPT teacher head0.311
Teacher spread0.274 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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