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The construction and application of communication capability assessment system for five-year clinical medicine students

2015· article· en· W3032158170 on OpenAlexaboutno aff
Xi Wu, Zhengli Chen, Changwei Yang, Zheng Lou, Rui Zhao, Zhinong Wang, Hongxing Shen

Bibliographic record

VenueZhonghua yixue jiaoyu tansuo zazhi · 2015
Typearticle
Languageen
FieldMedicine
TopicRadiology practices and education
Canadian institutionsnot available
Fundersnot available
KeywordsKey (lock)Medical educationEngineering managementPsychologyMedicineComputer scienceEngineering

Abstract

fetched live from OpenAlex

The manuscript overviewed the preliminary application of clinical communication capability assessment system which combined several domestic and foreign assessment tools for fiveyear clinical medical students. The merit and demerit of SEGUE framework, 360-degree feedback and The Calgary-Cambridge observation guide were discussed and utilized. The utilization, principles and weight of the assessment system were expounded. The Principles includes systematicness, typicalness, dynamic, science, manipuility, quantifiable and comprehensiveness. Experiences and lessons companied with the application of assessment system were share to the others who would concern. Key words: Communication capability; Assessment system; Doctor-patient relationship; Medical education; Clinical medicine

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)0.004
metaresearch head score (Gemma)0.001
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 score0.042
Threshold uncertainty score0.328

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 science0.0000.000
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 head0.056
GPT teacher head0.439
Teacher spread0.384 · 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
Published2015
Admission routes1
Has abstractyes

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