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Record W4413903247 · doi:10.1186/s12909-025-07834-z

Unveiling how medical educators conceptualise resilience: a qualitative study

2025· article· en· W4413903247 on OpenAlexaff
Linda S. Chan, Emma Victoria Marianne Bilney, Fraide A. Ganotice, Julie Chen, Samuel Yeung Shan Wong, Paul Po Ling Chan, Zijian Tang, S.M. Yuen, Carmen Wong, Tai Pong Lam, Cynthia Whitehead, George L. Tipoe

Bibliographic record

VenueBMC Medical Education · 2025
Typearticle
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsThe Wilson CentreWomen's College HospitalUniversity of Toronto
FundersChinese University of Hong KongUniversity of Hong Kong
KeywordsResilience (materials science)Medical educationQualitative researchMEDLINEPsychologyMedical psychologyMedicinePedagogyEngineering ethicsSociologyPolitical science

Abstract

fetched live from OpenAlex

BACKGROUND: Medical educators operate in high-pressure environments where resilience is critical to their well-being and professional effectiveness. Studies exploring how medical educators conceptualise resilience is limited, particularly outside Western contexts. As such, research investigating culturally-sensitive conceptualisations of resilience in an Asian context is overdue. This study addresses this gap by exploring how medical educators in Hong Kong (HK) conceptualise resilience, attending to the cultural and professional nuances that shape these understandings. METHOD: Twenty medical educators teaching medical students, trainees and/or physicians at HK's two medical schools were recruited via email using maximum variation sampling. Semi-structured online interviews were conducted in English, audio- and video-recorded and transcribed verbatim. Researchers adopted a constructivist epistemology and employed a socio-ecological model to guide Reflexive Thematic Analysis of the transcripts. RESULTS: Medical educators predominantly conceptualised resilience as a dynamic process, though some also described it as an outcome of navigating adversity, and to a lesser extent, as an inherent trait. Notably, conceptualisations of resilience as a process and as an outcome often overlapped. Adversity was consistently identified as a fundamental component across definitions. Participants aligned their understandings of resilience closely with their professional roles and pervading sociocultural influences, emphasising relational and cultural dimensions. This holistic approach distinguished their perspectives from more individualised Western notions of resilience. CONCLUSIONS: Traditional Western frameworks of resilience may not adequately capture its complexities in other cultural contexts. Echoing the socio-ecological model, participants' conceptualisations were deeply intertwined with HK's cultural values and socio-contextual dynamics. These findings underscore the need to broaden global understandings of resilience beyond Western paradigms. Importantly, our findings can inform the design of culturally-sensitive faculty development programmes aiming to support medical educator resilience in the future.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.543
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.041
GPT teacher head0.532
Teacher spread0.492 · 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

Citations3
Published2025
Admission routes1
Has abstractyes

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