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Record W6989615443

Bullying from Staff Nurses : The Experience of Senior Undergraduate Nursing Students during Clinical Placements

2020· dissertation· en· W6989615443 on OpenAlexaffabout

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2020
Typedissertation
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsTrinity Western University
Fundersnot available
KeywordsNucleofectionGestational periodTSG101HyporeflexiaDysgeusiaArticular cartilage damageHyperlactatemiaProtein isoform
DOInot available

Abstract

fetched live from OpenAlex

The phenomenon of bullying within nursing is not new, and unfortunately nursing students are often victims. The purpose of this qualitative study was to explore the perspectives of nursing students who have been bullied by staff nurses during a clinical experience. Participants from two western Canadian universities were recruited through convenience and snowball sampling using a series of emails and by a social media poster. Data collection involved one on one semi structured interviews with six senior undergraduate nursing students. Three main themes were identified: the student experience of bullying; the intervening influence of nursing educators; and the outcome of (in)security. Recommendations included education provided to students, clinical sites and clinical instructors; clinical setting guidelines for clinical instructors; policy implementation for reporting bullying and creating clinical groups; greater communication by institutional nursing leaders with staff and clinical instructors; and further research.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.605
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.012
GPT teacher head0.309
Teacher spread0.297 · 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 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

Citations0
Published2020
Admission routes2
Has abstractyes

Explore more

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