Bibliographic record
Abstract
Acknowledgements. Introduction P. Bowles, L.T. Woods. I. Searching for New Directions: The Japanese Challenge and Response. Japan's Postwar Fordism: An Historical Perspective on the Economic Crisis in Japan J. Price. Restoring the Legitimacy of Japanese Business in the Post-Bubble Era: Can Good Economics Make Good Ethics Easier? T. Ursacki. Changing Behaviour of Japanese Consumers C. Beaupre. Back In the Race: Japan and the Internet K. Coates. New Directions in Canada's Japanese-Owned Automobile Plants P. Parker, T. Rutherford, T. Koshiba. Producing and Managing Hazardous Waste in Japan D. Munton. Sustainability of Farm Settlements in Japan After the Economic Miracle: A Case Study of Onoji Hamlet in Yamanashi Prefecture A. Tabayashi, T. Kikuchi, T. Waldichuk. New Directions in Japanese Urban Planning: A Case Study of Nagoya D.W. Edgington. The Aging of Japanese Society: Human Resource Management in Transition K.V. Ujimoto. Contemporary Party Politics in Japan: An Old Wine in a New Bottle? A. Kubota. II. Searching for New Directions: The Canadian Challenge and Response. Breaking Into The Japanese Market: Canadian Companies and the Challenge of Doing Business in Japan C. Holroyd. Learning With A New Media X.J. Yang. History of Japanese Language Education at UBC, 1956-1998: Challenges and Future Directions K.-H. Lynn. Teaching Japanese to A Multicultural Student Population R. Chau, Y. Shibata. Beyond Boundaries: Japanese Migrant Women in North America Y. Ishii. Index.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.046 | 0.013 |
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".