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Record W2318934572 · doi:10.1097/acm.0b013e3182628edb

The Global Health Curriculum of Weill Cornell Medical College

2012· article· en· W2318934572 on OpenAlexaboutno aff
Elizabeth R. Francis, Nichole Goodsmith, Marilyn Michelow, Amita Kulkarni, Anna Sophia McKenney, Sandeep P. Kishore, Nathan Bertelsen, Oliver Fein, Satchit Balsari, Jay Lemery, Daniel W. Fitzgerald, Warren D. Johnson, Madelon Lubin Finkel

Bibliographic record

VenueAcademic Medicine · 2012
Typearticle
Languageen
FieldMedicine
TopicGlobal Health and Surgery
Canadian institutionsnot available
FundersNational Institute of General Medical Sciences
KeywordsEnthusiasmCurriculumMedical educationGlobal healthMultidisciplinary approachMedical schoolPsychologyMedicinePolitical scienceNursingPublic healthPedagogy

Abstract

fetched live from OpenAlex

Since 2009, a multidisciplinary team at Weill Cornell Medical College (WCMC) has collaborated to create a comprehensive, elective global health curriculum (GHC) for medical students. Increasing student interest sparked the development of this program, which has grown from ad hoc lectures and dispersed international electives into a comprehensive four-year elective pathway with over 100 hours of training, including three courses, two international experiences, a preceptorship with a clinician working with underserved populations in New York City, and regular lectures and seminars by visiting global health leaders. Student and administrative enthusiasm has been strong: In academic years 2009, 2010, and 2011, over half of the first-year students (173 of 311)participated in some aspect of the GHC, and 18% (55 of 311) completed all first-year program requirements.The authors cite the student-driven nature of GHC as a major factor in its success and rapid growth. Also important was the foundation previously established by WCMC global health faculty, the serendipitous timing of the GHC's development in the midst of curricular reform and review, as well as the presence of a full-time, nonclinical Global Health Fellow who served as a program coordinator. Given the enormous expansion of medical student interest in global health training throughout the United States and Canada over the past decade, the authors hope that medical schools developing similar programs will find the experience at Weill Cornell informative and helpful.

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)0.005
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.291
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.026
GPT teacher head0.379
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 teacher head, not a consensus.

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

Citations28
Published2012
Admission routes1
Has abstractyes

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