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Record W2099739303 · doi:10.1037/1076-8998.8.2.110

Reducing the adverse consequences of workplace aggression and violence: The buffering effects of organizational support.

2003· article· en· W2099739303 on OpenAlexaff
Aaron C. H. Schat, E. Kevin Kelloway

Bibliographic record

VenueJournal of Occupational Health Psychology · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsSaint Mary's UniversityUniversity of Guelph
Fundersnot available
KeywordsPsychologyAggressionNeglectWorkplace violenceAffect (linguistics)Occupational safety and healthSocial psychologyIntervention (counseling)Human factors and ergonomicsClinical psychologyPoison controlPsychiatryMedicineMedical emergency

Abstract

fetched live from OpenAlex

This study examined the buffering effects of 2 types of organizational support--instrumental and informational--on the relationships between workplace violence/aggression and both personal and organizational outcomes. Based on data from 225 employees in a health care setting, a series of moderated multiple regression analyses demonstrated that organizational support moderated the effects of physical violence, vicariously experienced violence, and psychological aggression on emotional well-being, somatic health, and job-related affect, but not on fear of future workplace violence and job neglect. These findings have implications for both research and intervention related to workplace violence.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.407
Teacher spread0.375 · 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 source (direct Gemma or distilled Codex), 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

Citations372
Published2003
Admission routes1
Has abstractyes

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