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New graduate nurse transition programs: Relationships with bullying and access to support

2014· article· en· W4250614879 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueContemporary Nurse · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsTransition (genetics)NursingGraduate studentsContext (archaeology)Workplace bullyingRegistered nursePsychologyOccupational safety and healthMedical educationMedicineSocial psychology

Abstract

fetched live from OpenAlex

New graduate nurses are often targets of bullying and horizontal violence. The support offered by new graduate nurse transition programs may moderate the effects of bullying and limit its negative impact on new graduate nurse transition. This study examined the relationships between access to support, workplace bullying and new graduate nurse transition within the context of new graduate transition programs. As part of a mixed methods study, an online survey was administered to new graduates (N = 245) approximately a year from starting employment. Bullied new graduate nurses were less able to access support when needed and had poorer transition experiences than their non-bullied peers. Participation in a formal transition program improved access to support and transition for bullied new graduate nurses. People supports within transition programs positively influenced the new graduate nurse transition experience. Formal transition programs provide support that attenuates the impact of bullying on new graduate nurses and improves transition.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.556

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 communication0.0000.001
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 head0.117
GPT teacher head0.338
Teacher spread0.222 · 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