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Record W2221694480 · doi:10.1136/eb-2015-102235

Good peer relationships can attenuate the negative effect of horizontal violence on job satisfaction

2015· letter· en· W2221694480 on OpenAlexaff
Judith Horrigan

Bibliographic record

VenueEvidence-Based Nursing · 2015
Typeletter
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsLaurentian University
Fundersnot available
KeywordsJob satisfactionMedicinePsychologyDemographySocial psychologySociology

Abstract

fetched live from OpenAlex

Commentary on : Purpora C, Blegen MA. Job satisfaction and horizontal violence in hospital staff registered nurses: the mediating role of peer relationships. J Clinl Nurs 2015;24:2286–94.[OpenUrl][1][CrossRef][2] The perceptions of job satisfaction and the experience of horizontal violence among registered nurses (RNs) are two key concerns that have been researched over several decades. Evidence has suggested that horizontal violence and job satisfaction among nurses are negatively associated with several factors including peer relationships. This study by Purpora and colleague specifically aimed to … [1]: {openurl}?query=rft.jtitle%253DJ%2BClinl%2BNurs%26rft.volume%253D24%26rft.spage%253D2286%26rft_id%253Dinfo%253Adoi%252F10.1111%252Fjocn.12818%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1111/jocn.12818&link_type=DOI

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
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 head0.066
GPT teacher head0.338
Teacher spread0.272 · 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.

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
Published2015
Admission routes1
Has abstractyes

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