The Issues Japanese Higher Education Face in the Digital Age - Are Japanese Universities to Blame for the Slow Progress towards an Information-based Society?
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.
Bibliographic record
Abstract
A quarter of a century has passed since the Internet was opened to general use. The impact of the Internet, which was initially moderate, is gradually taking shape. The Fourth Industrial Revolution is materializing with the advent of the Internet of Things and artificial intelligence. At the same time, higher education is in a period of drastic reform, driven by the globalization, marketization, and massification of higher education. However, adapting to the digital age has not been a priority, and as the turmoil of reforms is settling down, the gaps among universities in terms of adapting to the digital age have become apparent. Japanese universities are among the adaptation laggards. They have also drawn criticism for not being effective enough in producing skilled IT engineers and fostering the development of IT-related startups. But are Japanese universities to blame for the shortcomings of the Japanese IT industry?\n\nThis paper analyzes the slow progress towards an information-based society in Japan by first comparing the measures taken by universities at the beginning of the digital age and the criticism Japanese universities have drawn. It then discusses the issues Japan is facing in transitioning to an information-based society and the contributions Japanese universities could make.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.002 | 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 it