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Record W3006877524 · doi:10.1111/medu.14133

Journey into uncertainty: Medical students' experiences and perceptions of failure

2020· article· en· W3006877524 on OpenAlexaffabout
Lisa Shepherd, Ryan Gauld, Sayra Cristancho, Saad Chahine

Bibliographic record

VenueMedical Education · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsQueen's UniversityWestern University
Fundersnot available
KeywordsThematic analysisContext (archaeology)Medical educationPerceptionQualitative researchPsychologyMedical schoolMedicineFamily medicineSociology

Abstract

fetched live from OpenAlex

CONTEXT: Having succeeded in being selected for medical school, medical students are not always familiar with failure and yet they are expected to graduate prepared to effectively function in the failure-burdened arena of clinical medicine. Lacking in the developing literature on learners and failure is an exploration of how this transformation is accomplished. The purpose of this study was to examine how medical students perceive and experience failure during their medical school training. METHOD: We used a qualitative description methodology to probe the failure experiences of medical students attending a Canadian medical school. Participants were provided with the broad definition of failure used in this research: 'deviation from expected and desired results.'In total, 12 students were sampled, three from each of the 4 years of study, and participated in individual, semi-structured interviews that were analysed using thematic analysis to identify and describe core themes. RESULTS: At the start of medical school, students admitted limited experience with failure; their early descriptions were self-centred and binary. Personal stories recounted by preceptors encouraged students and helped them understand that physicians are human and that failure is inevitable. Students felt relatively protected from failures that could impact patients. Both witnessing and participating in a failure event were distressing and sometimes at odds with their expectations. Students expressed a desire to talk about the experience. CONCLUSIONS: Medical students described examples of experiencing failure during medical school that transported them from the more certain black and white beginnings of their classroom into the uncertain shades of grey of clinical medicine. What the participants heard, saw and experienced suggests opportunities for classroom teachers to better prepare pre-clinical students for the inevitability of failure in clinical medicine and opportunities for clinical teachers to engage in open, inclusive conversations surrounding failures that occur on their watch.

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)0.001
metaresearch head score (Gemma)0.014
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.448
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.011
GPT teacher head0.383
Teacher spread0.372 · 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

Citations21
Published2020
Admission routes2
Has abstractyes

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