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Record W2979550781

한국 물리치료 과정의 표준교과 개발에 대한 연구

2006· article· ko· W2979550781 on OpenAlexaboutno aff
Kyoung Kim, 박은세, Yongho Cho, 조정선, 유재웅, Rae-Joon Park, 권용현

Bibliographic record

Venue대한물리치료학회지(JKPT) · 2006
Typearticle
Languageko
FieldNursing
TopicHealthcare Education and Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumSubject (documents)Foundation (evidence)Medical educationMedicinePedagogyPolitical sciencePsychologyLibrary scienceComputer scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Purpose: The purpose of this study is to suggest new strategies available for the physical therapy curriculum development. Method: The curriculum of 4 Universities in 4 countries; America, Australia, Canada and Korea was compared to suggest new curriculum. Results: Overall, curriculum in Korea emphasized skill and technique areas and didn`t showed many subjects to take foundation of subject for understanding principles. The experience in clinic is not enough to satisfy international recommendation. Conclusion: We suggest that a new curriculum should be based on the three part which are foundation, essential and selection subject, and extended clinical experience to essentially need to be physical therapy in the world-standard. (J Kor Soc Phys Ther 2006;18(6):23-32)

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)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.342
Teacher spread0.319 · 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 designQualitative
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
Published2006
Admission routes1
Has abstractyes

Explore more

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