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Record W3203749779 · doi:10.1097/acm.0000000000004443

How Trainees Become Multimodal Changemakers

2021· letter· en· W3203749779 on OpenAlexaff
Alec Yu, Vivian W. L. Tsang, Zach Sagorin

Bibliographic record

VenueAcademic Medicine · 2021
Typeletter
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsGrassrootsModalitiesPublic relationsGeneral partnershipAutonomyPoliticsHealth careTimelinePsychologyMedical educationPolitical scienceMedicineSociologySocial science

Abstract

fetched live from OpenAlex

To the Editor: Medical school for many students is a further step to greater changemaking. A new trainee will be exposed to a parade of potential role models, such as leaders in education, accomplished researchers, and those dedicated to clinical and community service. Students are often encouraged to select from the standard leadership areas above. Yet, just as there are many medical specialties, there are many changemaking modalities, and new trainees will benefit from early and broad exposure rather than foreclosing on those first identified or commonly found. Although less frequently mentioned in mainstream medical education, physicians across the country create change through entrepreneurship, holding political office, partnership with industry, and grassroots nonprofits, to name a few. For trainees who find themselves called to make change on issues they feel passionate about, finding the right combination of changemaking modalities can be crucial to both the impact of their efforts and personal satisfaction in their work. Part of this search for a fitting combination involves understanding how one’s personality and life experiences intersect with a given changemaking method. Those who desire maximal autonomy and control over timelines may be better suited to entrepreneurship, while others who desire social policy change may gravitate toward political advocacy. Regardless of whether an explored modality becomes a part of one’s regular repertoire of methods for changemaking, such exploration can give trainees new mental models, problem-solving techniques, and professional networks that will be invaluable for future endeavors. Within increasingly complex health care systems, multimodal avenues of changemaking synergize to increase opportunities for collaboration, personal growth, and satisfaction. To fully unlock the potential of multimodal changemaking, trainees should appreciate the impact of traditionally endorsed methods and also acknowledge the existing bias within the hidden curriculum of medical education. This provides a foundation for open-minded exploration of less common changemaking modalities that can be explored through identifying local mentors in the field or reaching for inspiration outside of medicine. Finally, trainees should reflect on how any given project can be better supported with different modalities of changemaking and which modalities better empower their own strengths and skills. This paradigm can better position a trainee to use their medical education to tackle ever-evolving problems that will require new solutions in the decades to come. Acknowledgments: The authors would like to thank the amazing mentors in changemaking they have had the benefit of learning from during their time as medical students at the University of British Columbia.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.015
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.052
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0060.004
Scholarly communication0.0060.007
Open science0.0030.004
Research integrity0.0100.018
Insufficient payload (model declined to judge)0.0150.004

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 head0.254
GPT teacher head0.440
Teacher spread0.186 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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