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Record W4283021512 · doi:10.17483/2368-6669.1311

Just Because I Am A “Student” Does Not Mean I Should Tolerate It: Students’ Perspectives of Forum Theatre to address Bullying In Nursing Education

2022· article· en· W4283021512 on OpenAlexaffvenue
Kathy O’Flynn-Magee, Caryn Dooner, Agnes Choi, Raluca Nicoleta Radu, Ranjit Dhari, Lynne Esson, Amy Poon, Patricia Rodney

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsContext (archaeology)Embodied cognitionPsychologyNurse educationInterpretation (philosophy)PedagogyMedical educationMedicineComputer science

Abstract

fetched live from OpenAlex

The authors of this paper developed a CRAB (Cognitive Rehearsal to Address Bullying) Workshop, using Forum Theatre as an innovative pedagogical approach to explore the overly prevalent issue of bullying in nursing education. We designed two open-ended descriptive written surveys to obtain feedback from students on the efficacy of the workshop with respect to students’ ability to address bullying, and with respect to their capacity to engage in related embodied learning through Forum Theatre. We collected survey data at two points in time; 1) following a workshop during students’ first year in the program and 2) following a workshop during students’ final term in the program. We identified three overarching themes from the surveys: 1) The Socio-Political Context; 2) Psychological Safety; and 3) Ways of Learning. We developed each of these themes by creating, expanding, and collapsing our collective interpretation of the data. The majority of the student feedback we collected was positive. In this paper we describe the survey-based study, discuss our analysis of findings, and highlight students’ voices through verbatim quotes. In closing, we offer recommendations and questions for nurse educators and academic leaders to consider.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.201
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
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 head0.055
GPT teacher head0.461
Teacher spread0.406 · 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 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

Citations2
Published2022
Admission routes2
Has abstractyes

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Same venueQuality Advancement in Nursing Education - Avancées en formation infirmièreSame topicWorkplace Violence and BullyingFrench-language works237,207