�젣以묒썝�뿉�꽌 �롮빟臾쇳븰 �긽沅�(臾닿린吏�)�륁쓽 踰덉뿭怨� 洹� �쓽誘�
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.115 | 0.076 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".