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Record W2072549473 · doi:10.1080/01421590600607195

The impact on students of adverse experiences during medical school

2006· article· en· W2072549473 on OpenAlexaboutno aff
Tim Wilkinson, Denzil Gill, Julie Fitzjohn, Claire L. Palmer, Roger Mulder

Bibliographic record

VenueMedical Teacher · 2006
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsHumiliationAdverse effectMedicineQuarter (Canadian coin)PsychologyFamily medicineMedical educationSocial psychology

Abstract

fetched live from OpenAlex

This study aimed to determine the consequences for, and coping method used by, medical students who experienced adverse experiences during their training. A nationwide questionnaire based census of all current medical students in New Zealand. The response rate was 83% (1384/1660). Two-thirds of students had at least one adverse experience, with humiliation being the most common and having the greatest adverse impact. Unwanted sexual advances, unfair treatment on the basis of gender or race had a lesser impact for most students. Most students took several hours or several days to get over an adverse episode and most commonly they then avoided that person or department. Around one half sought help. Only one-quarter felt it motivated their learning while one-sixth felt it made them consider leaving medical school. The most common perpetrators were senior doctors or nurses. Unwanted sexual advances were most common from other students or from patients. Humiliation is the experience that affected students the most and had a significant adverse effect on learning. There is a disturbing rate of unacceptable practice within medical schools, not all of which is from doctors.

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)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.000

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 head0.010
GPT teacher head0.384
Teacher spread0.374 · 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

Citations165
Published2006
Admission routes1
Has abstractyes

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