Bibliographic record
Abstract
An index to Japanese law: A bibliography of western language materials 1867-1973 compiled by Rex Coleman and John Owen Haley; Introduction to Japanese law by Yosiyuki Noda, translated and edited by Anthony H. Angelo; Foreign enterprise in Japan, laws and policies by Dan Fenno Henderson; The Japanese legal system: introductory cases and materials edited by Hideo Tanaka assisted by Malcolm D.H. Smith; Village contracts in Tokugawa Japan: fifty specimens with english translations and comments by Dan Fenno Henderson, reviewed by T. B. Stephens. Debt recovery in Australia by David St. L. Kelly, reviewed by J. M. White. The legal point of view by Robert A. Samek, reviewed by I. M. Yeats. Studies on imprisonment by the Law Reform Commission of Canada; Community participation in sentencing by the Law Reform Commission of Canada, reviewed by David Biles. Commission of enquiry into land tenures: First report; Commission of enquiry into land tenures : Final report, reviewed M.L.W. Bowering. Unemployment insurance benefit: A study of administrative procedure in the unemployment insurance commission by P. Issalys and G. Watkins, reviewed by J. F. Keeler. Constitutional Law by Christopher Enright, reviewed by John Bradsen.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.419 | 0.319 |
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".