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Inspiration from orthopedic residents training in Dutch

2019· article· en· W3032164385 on OpenAlexaboutno aff
Yongqiang Wang, Zhouqiao Wu, Hua Zhou

Bibliographic record

VenueChinese Journal of Medical Education · 2019
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal Disorders and Rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedical educationOrthopedic surgeryTraining (meteorology)MedicineWork (physics)Training systemPsychologyPolitical scienceEngineeringSurgery

Abstract

fetched live from OpenAlex

Medical education has been paid more attention in Dutch, publications in this field lead worldwidely. In Dutch, training system for orthopedic surgeon focused on selection of the residents, and ensured that every resident could work independently after competency-based training through Canadian Medical Educational Directives for Specialists (CanMEDS framework). Here the medical school education and postgraduate education of Orthopedic surgeon in Dutch were described, based on the fellowship of the first author in Holland and review of Dutch literature which focused on postgraduate medical training. It would be paid more attention on enrollment of residents, personalized training and assessment system. Some suggestions about orthopedic surgery training were made in order to support the remodeling of medical educational reform in China. Key words: Dutch; Orthopedic; Resident; Standardized training; Competency

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.009
GPT teacher head0.341
Teacher spread0.332 · 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
Published2019
Admission routes1
Has abstractyes

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