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Record W2124982601 · doi:10.1177/0018726712445100

Escaping bullying: The simultaneous impact of individual and unit-level bullying on turnover intentions

2012· article· en· W2124982601 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHuman Relations · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsWorkplace bullyingPsychologyTurnover intentionMultilevel modelTurnoverUnit (ring theory)Sample (material)Social psychologyHuman factors and ergonomicsWork (physics)Work environmentOccupational safety and healthPoison controlApplied psychologyJob satisfactionMedicineEnvironmental healthComputer scienceEngineering

Abstract

fetched live from OpenAlex

In this study, we investigate the simultaneous impact of, and interaction between, being the direct target of bullying and working in an environment characterized by bullying upon employees’ turnover intentions. Hierarchical linear modeling analysis of a sample of 41 hospital units and 357 nurses demonstrates that working in an environment characterized by bullying increases individual employees’ turnover intentions. Importantly, employees report similarly high turnover intentions when they are either the direct target of bullying or when they work in work units characterized by high bullying. Results also suggest that the impact of unit-level bullying is stronger on those who are not often directly bullied themselves.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.109
GPT teacher head0.377
Teacher spread0.268 · 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