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Record W2091136664 · doi:10.5430/jha.v3n1p34

Workplace violence: A call for action

2013· article· en· W2091136664 on OpenAlexvenueno aff
Bunnany Chhun Pekar, Gordon Lee Gillespie

Bibliographic record

VenueJournal of Hospital Administration · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsnot available
FundersRobert Wood Johnson Foundation
KeywordsWorkplace violenceWorkforceNursingCraftAffect (linguistics)PerceptionAction (physics)Call to actionQuality (philosophy)Public relationsMedicinePsychologyBusinessHuman factors and ergonomicsPolitical sciencePoison controlEnvironmental healthMarketing

Abstract

fetched live from OpenAlex

Workplace violence (WPV) is a serious threat to the nursing workforce. WPV results in decrease morale, job dissatisfaction, and increase nurse turnover and intentions to leave the profession. WPV has been associated with decrease in the quality of care rendered and could negatively affect patient safety. Given the direct and indirect financial consequences of WPV, it is critical that nursing leaders take actions to reduce WPV by establishing violence prevention programs. Nursing leaders should also reach out to the public, their professional health organization, and the scientific community to provide education and craft regulation to reduce this threat on the nursing workforce and change the perception that violence is part of the job.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.248

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.021
GPT teacher head0.329
Teacher spread0.307 · 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 designOther design
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

Citations2
Published2013
Admission routes1
Has abstractyes

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