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Record W3215112084 · doi:10.1111/tct.13420

Disrupted, but not derailed: A year of scholarship in health professions education

2021· article· en· W3215112084 on OpenAlexaff
Aileen Barrett, Kevin W. Eva

Bibliographic record

VenueThe Clinical Teacher · 2021
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsScholarshipCreativityHealth carePublic relationsTheme (computing)Medical educationPolitical scienceSociologyPsychologyPedagogyMedicineLaw

Abstract

fetched live from OpenAlex

The commitment of health care professionals over the last year is unparalleled. In a time of crisis, going on for longer than anyone could have imagined, health care providers demonstrated an ability to rise higher, work harder and care even more deeply. Astoundingly, education did not get lost in the mix, as evidenced by the recently held Annual Scientific Meeting (ASM) of the Association for the Study of Medical Education. Ironically, the theme of 2020's (cancelled) meeting was to be “Disrupting medical education.” As COVID forced the concept from a rallying cry into an imposed necessity, this year's ASM, “Disrupted medical education,” was a shining light coming at what we hope is the end of an all too long tunnel. In parallel sessions, plenaries and workshops, we listened to stories of scholarship, creativity and an unwillingness to let a pandemic get in the way of educational progress. Learners, in particular, led the way in education design, creating opportunities for near peer teaching, mentoring and leadership. While technology took centre stage in education delivery this year, the ASM made it abundantly clear that it was the engagement of educators and learners in this rapid evolution, and their ability to “adapt, improvise and overcome” educational challenges that enabled successful continuation of education programmes. And somehow, through it all, education scholars managed to largely keep their research programmes and quality assurance activities afloat. To be sure, many adaptations were required with time-limited studies (e.g., MSc projects) being particularly impacted by issues of recruitment, availability of ethics committees and challenges in data collection like conducting focus groups in virtual environments. However, in the main, many appear to have successfully found workarounds, adapting protocols to ensure feasibility, without compromising their study's integrity. Context, as always, was critical, and scholars at the ASM offered compelling insights into how they grappled with the nuances of their situation, recognising how observations and experiences might have been different in different environments including different points in time. We are aware that those who were able to present at the ASM are likely a select sample as others undoubtedly had projects irretrievably derailed through no fault of their own. We think the strategies and transformations (both curricular and methodological) presented at the meeting offer keys to unlocking adaptations elsewhere and came away from the ASM excited to see that the future of health professions education scholarship is looking very bright. Our field has always been one of committed researchers, academics, educators and learners who prioritise and maintain a strong sense of community, a practice of paying it forward, and a desire to continue pushing the boundaries of methodology and education science. In efforts to replicate that history, it was comforting to see more than one workshop that focused on careers in health professions education, with learners and trainees keen to strategically develop educational scholarship and leadership opportunities alongside their clinical training and practice. The challenge now is to consider and evaluate how the countless crisis-time adaptations can be adapted further to maintain their best qualities while overcoming concessions that needed to be made throughout the past year. The pandemic, therefore, creates vast opportunities to shape the next era of education design and delivery as we begin to grapple with the question of “what will we do when we have the time to actually shape change instead of reacting to disruptions forced upon us?” We do not claim perfect clarity in this regard but are reassured by our attendance at the ASM that the question is in good hands and we look forward to hearing the answers delegates have generated at next year's (in person?) ASM.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.842

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.159
GPT teacher head0.501
Teacher spread0.342 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

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