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Record W2754170048 · doi:10.17496/kmer.2017.19.2.70

Current Status of the Resident Education Program and the Necessity of a General Competency Curriculum

2017· article· en· W2754170048 on OpenAlexaboutno aff
Hyeon Ju Kim, Jung‐Sik Huh

Bibliographic record

VenueKorean Medical Education Review · 2017
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsAccreditationCurriculumGraduate medical educationMedical educationCore competencyMedicineHealth careQuality (philosophy)PsychologyPolitical sciencePedagogyBusiness

Abstract

fetched live from OpenAlex

In order to adapt to the rapidly changing medical environment, it is important to advance not only the basic medical education in medical schools but also that of residents. The quality of the training environment and educational goals for residency must also be improved for specialists. Although each institute including internal medicine, general surgery, family medicine, etc., strives to standardize, sets educational goals, and develops content to train capable specialists, the education programs focus on special techniques and competency of medical care for patients. The training environment of each residency program is different in each trainee hospital, and hospitals are making an effort to set education goals for the residents and improve their education programs. In Korea, there is no common core education program for residents, while in the United States, the Accreditation Council for Graduate Medical Education is responsible for the development and evaluation of a standardized curriculum for residents, and in Canada, CanMEDs presents a basic curriculum to help residents develop competency. Fully capable specialists have more than just clinical competency; they also need a wide range of abilities including professionalism, leadership, communication, cooperation, in addition to taking part in continuous professional development/continuing medical education activities. We need to provide a core curriculum for residency to demonstrate attention to and knowledge about health problems of the community.

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)0.018
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.870
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.406
Teacher spread0.390 · 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 designOther design
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

Citations2
Published2017
Admission routes1
Has abstractyes

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