MétaCan
Menu
Back to cohort
Record W2783121817 · doi:10.5430/jnep.v8n6p66

“They can crush you”: Nursing students’ experiences of bullying and the role of faculty

2018· article· en· W2783121817 on OpenAlexafffundvenue
L. Michelle Seibel, Florriann Fehr

Bibliographic record

VenueJournal of Nursing Education and Practice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsThompson Rivers University
FundersThompson Rivers University
KeywordsTeachable momentPsychologyCurriculumDistrustNurse educatorPerceptionWorkplace bullyingNursingNurse educationMedical educationPedagogyMedicineSocial psychology

Abstract

fetched live from OpenAlex

This paper will explore the faculty role when nursing students experience bullying, and what teaching practices best support student confidence and learning. Failure to address the issue of bullying in nursing education contributes to bullying in the profession, and creates an atmosphere of distrust between students and faculty. Nursing students have reported that faculty sometimes behave in bullying ways or are ill-prepared to address bullying as it occurs. Faculty may contribute to bullying unknowingly, as students may perceive teaching behaviours, such as giving feedback, as bullying. Giving feedback is a skill in itself, and faculty members should consider factors influencing a student’s perception of student/teacher interactions. Having a firm grasp on conflict resolution processes and reviewing related curriculum are responsibilities of post-secondary nurse educators. Faculty also have the responsibility to recognize and address conflict in a timely manner, and turn difficult situations into learning experiences or teachable moments. In order to prevent faculty bullying of students, faculty members should acknowledge the inherent vulnerability of learners, and also reflect on their own communication practices and their potential impact on learners.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.487

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.057
GPT teacher head0.455
Teacher spread0.397 · 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 designQualitative
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

Citations41
Published2018
Admission routes3
Has abstractyes

Explore more

Same venueJournal of Nursing Education and PracticeSame topicWorkplace Violence and BullyingFrench-language works237,207