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Record W7063175586

�젣以묒썝�뿉�꽌 �롮빟臾쇳븰 �긽沅�(臾닿린吏�)�륁쓽 踰덉뿭怨� 洹� �쓽誘�

2014· article· en· W7063175586 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueYUHSpace (Yonsei University Medical Library) · 2014
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdaptive optics and wavefront sensing
Canadian institutionsnot available
Fundersnot available
KeywordsMateria medicaState (computer science)ChoseHuman being
DOInot available

Abstract

fetched live from OpenAlex

For more systematic medical education, Dr. O. R. Avison translated medical textbooks into Korean since he took charge of Jejungwon (嚥잒죫 �솫) in 1893. The first book he chose was Anatomy of the Human Body. He, however, failed to see it published after losing its manuscript twice. Instead, Materia Medica Part. I was brought into the world first in 1905, for which he translated Materia Medica and Therapeutics written by John Mitchell Bruce from the U. K. At that time, this book was in widespread use in the English-speaking world as a textbook for pharmacology. It is also assumed that Avison used it as a textbook for his classes in Canada before coming to Korea. For the publication of Materia Medica Part. I, Avison did not translate Bruce's original text in full, but translated only the selected passages. He followed a principle of using Korean alphabets (Hangeul) only, but in combination with Chinese characters, if necessary. He put pharmacological terms into existing Korean equivalents or newly coined words, but also borrowed many from Japanese terms. That's because Japan moved faster to introduce Western medicine than Korea did, so that many pharmacological terms could be defined and arranged more systematically in Japanese. Moreover, Japan took such a favorable stance in the state of international affairs that many of Japanese-style terms could be introduced into Korea in most fields including medicine. By translating Materia Medica Part. I in cooperation with his disciple KIM Pilsoon after Gray's Anatomy of the Human Body, Avison tried to lay groundwork for providing medical education in Korea based on the British-American medicine. It is assumed that he took an independent stance in selecting and translating Western medical textbooks on his own rather than simply accepting the existing Chinese translation of Western medical textbooks. Despite all his efforts, he might find it difficult to translate all the Western medical terms into Korean within a short period of time. Therefore, he seems to have had no choice but to accept Japanese medical terms as a complementary measure.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.742
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.005
GPT teacher head0.173
Teacher spread0.169 · 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