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Record W3007607709 · doi:10.1097/acm.0000000000003125

In Reply to Barwise and Liebow

2020· letter· en· W3007607709 on OpenAlexaffabout
Malika Sharma, Andrew D. Pinto, Arno K. Kumagai

Bibliographic record

VenueAcademic Medicine · 2020
Typeletter
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsWomen's College HospitalSt. Michael's HospitalMaple Leaf Medical Clinic
Fundersnot available
KeywordsPovertyCurriculumRacismHumanismPolitical sciencePublic relationsState (computer science)Public healthSociologyMedicineLawNursing

Abstract

fetched live from OpenAlex

We thank Drs. Barwise and Liebow for their response to our Perspective. We agree that medical students are not wholly responsible for changing how the social determinants of health (SDOH) are taught. This is primarily an institutional responsibility—medical schools, academic health science centers, and hospital leadership must ensure that future physicians learn that medicine includes upstream action on SDOH at individual, practice, and community levels.1 The authors note that most students “will become clinicians—not public policy experts or social scientists.” Although ostensibly true, this fails to recognize that physician voices are incredibly influential in public policy discussions. Clinicians are limited at best and ineffectual at worst when they are unequipped to screen for and address the impact of SDOH on their patients’ lives. We are not arguing that faculty must inculcate all medical students into a particular worldview. We are, however, arguing that they should prompt students to question why and how issues, such as racism and poverty, result in deleterious health effects and consider how these conditions can be changed. Drs. Barwise and Liebow state that it is unrealistic to expect medical school curricula to change to incorporate our proposals. We argue that approaches in medical education have changed dramatically in the past and can do so again. Decades ago, the notion of teaching humanism through storytelling and poetry in medical schools would have likely seemed impossible, and yet it is now routinely done in medical schools globally.2,3 Lastly, the authors state that “inequality will not concern everyone equally.” We find this problematic and respectfully propose that it should. We are tasked with caring for all members of society, and especially the most marginalized for whom health and well-being are particularly at risk. Physicians are uniquely poised to bear witness to the downstream effects of social disparities. They are trusted members of society who are often in positions of leadership and authority. This trust is eroded when we trade in band-aids without calling for upstream solutions. Malika Sharma, MD, MEdMedical director, Casey House and HIV Physician, Maple Leaf Medical Clinic Toronto, Ontario, Canada; [email protected]Andrew D. Pinto, MD, MScAssistant professor, Department of Family and Community Medicine, Faculty of Medicine and Dalla Lana School of Public Health, University of Toronto, and clinician–scientist, MAP/Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael’s Hospital, Toronto, Ontario, Canada.Arno K. Kumagai, MDProfessor and vice-chair of education, Department of Medicine, University of Toronto, and F.M. Hill Chair for Humanism Education, Women’s College Hospital, Toronto, Ontario, Canada.

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)0.013
metaresearch head score (Gemma)0.086
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 score0.050
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.086
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0060.006
Scholarly communication0.0060.011
Open science0.0060.005
Research integrity0.0500.102
Insufficient payload (model declined to judge)0.0100.008

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 head0.085
GPT teacher head0.439
Teacher spread0.353 · 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".

Quick stats

Citations1
Published2020
Admission routes2
Has abstractyes

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