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Record W2137824655 · doi:10.1111/medu.12797

Transition processes through a longitudinal integrated clerkship: a qualitative study of medical students' experiences

2015· article· en· W2137824655 on OpenAlexaffabout
Timothy V Dubé, Robert J. Schinke, Roger Strasser, Ian Couper, Nancy Lightfoot

Bibliographic record

VenueMedical Education · 2015
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsLaurentian UniversityNOSM University
Fundersnot available
KeywordsMedical educationCompetence (human resources)Transition (genetics)PsychologyContext (archaeology)ScholarshipClinical clerkshipQualitative researchPedagogyMedicineSocial psychologySociologyCurriculum

Abstract

fetched live from OpenAlex

CONTEXT: This paper describes the transition processes experienced by Year 3 medical students during their longitudinal integrated clerkship (LIC). The authors conceptualise the stages that encompass the transition through a LIC. OBJECTIVES: The purpose of this study was to understand the perspectives of 12 Northern Ontario School of Medicine (NOSM) Year 3 medical students about their transition process. METHODS: Data were collected longitudinally through three conversational interviews with each of these students, occurring before, during and after the clerkship. The authors used a guided walk methodology to explore students' everyday lives and elicit insights about the transition process, prompted by the locations and clinical settings in which the clerkship occurred. RESULTS: Participants identified three interconnected stages in the transition process: (i) shifting from classroom to clinical learning; (ii) dealing with disorientation and restoring balance, and (iii) seeing oneself as a physician. Interview data provided evidence for the adaptive strategies the participants developed in response to these stages. CONCLUSIONS: Based on these findings, the transition process during a LIC can be characterised as one of entering the unfamiliar, with few forewarnings about the changes, of experiencing moments of confusion and burnout, and of eventual gains in confidence and competence in the clinical roles of a physician. Recommendations are made regarding future research opportunities to further scholarship on transitions.

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)0.004
metaresearch head score (Gemma)0.022
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.073
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.492
Teacher spread0.428 · 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

Citations51
Published2015
Admission routes2
Has abstractyes

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