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Record W4405446459 · doi:10.26681/jote.2024.080309

The Student Occupational Therapist Experience of Bullying on Fieldwork Placement: An Exploratory Study

2024· article· en· W4405446459 on OpenAlexaffabout
Jeffrey D Boniface, Donna Drynan

Bibliographic record

VenueJournal of Occupational Therapy Education · 2024
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyExploratory researchOccupational therapyPsychotherapistMedical educationClinical psychologyMedicinePsychiatrySociology

Abstract

fetched live from OpenAlex

Bullying is a widespread issue in higher education, notably in healthcare disciplines like nursing, medicine, and physical therapy. However, there is a paucity of research addressing bullying within occupational therapy, which is a relational healthcare discipline emphasizing meaningful relationships, mutual trust, and respect. This study investigated the experiences of student occupational therapists in Canada regarding bullying during their fieldwork placements through exploratory phenomenology. Data from nine former occupational therapy students were collected via focus groups and interviews. Thematic analysis unveiled common experiences including passive aggression, demeaning comments, and a lack of support. Three key themes emerged: the impact of power dynamics between students and preceptors, reduced learning opportunities and emotional distress, and the necessity for coping strategies. Participants highlighted the detrimental effects of bullying in learning and well-being. We advocate for developing processes to address bullying in placement settings and creating educational resources for students and preceptors to ensure the establishment of safe and conducive learning environments.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0100.005
Scholarly communication0.0050.002
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.271
GPT teacher head0.590
Teacher spread0.318 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2024
Admission routes2
Has abstractyes

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