Nihon no Daigakuseido--Rekishi to Tenbo (The Japanese University System: History and Future Prospects)
Bibliographic record
Abstract
In 1965, Nagai Michio, education sociologist and one-time Minister of Education, published a short book entitled Nihon no Daigaku—Sangyō Shakai ni hatasu Yakuwari (Japan's Universities: The Role the University Plays in Industrial Society), which begins: As an individual who works at a Japanese university, I have been bothered over the past several years with a question—is the Japanese university good enough? The education offered is limited and, despite the large number of universities (…), there is little research of a global standard. Moreover, many inadequacies cannot be ignored, such as the factionalism in making appointments (Nagai 1965:i). Little has changed in the decades since 1965. Today more than ever, the Japanese university is in a state of crisis. In response to government deregulation, the number of universities has increased dramatically over the past decade or so, by 26%, from 604 four-year institutions in 1998 to 765 in 2008. At the same time, the traditional market, the population of 18-year-olds, which peaked at 2.05 million in 1992, plummeted by a quarter to 1.51 million by 2000, and continues to fall (Askew 2008).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".