ゴトウ タダヒサ メイヨ キョウジュ ニ キク オオサカ ダイガク ノ オモイデ
Bibliographic record
Abstract
This is a record of the talk of Professor Emeritus Tadahisa Goto related to the history of the Naniwa Senior High School and its successor, the Division of General Education at Osaka University. Professor Goto, who was born in 1910 , majored in linguistics at Tokyo Imperial University and graduated from it, worked at some junior high schools in Chiba Prefecture and Osaka Prefecture as a teacher of English in his youth. In 1946 he became a professor of English at the Naniwa Senior High School. In 1949 the school was merged into the newly established Osaka University, and Professor Goto became an associate professor of its Division of General Education. There he fostered many students, and made a great effort to make an annual calendar of the many subjects. Professor Goto studied not only English but Kiswahili, which he taught to some students at Osaka University of Foreign Studies, now Osaka University School of Foreign Studies. He became Professor Emeritus in 1972.
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 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.055 | 0.034 |
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".