Bibliographic record
Abstract
The Digest is an indispensable guide and index to reported cases. It offers an unrivalled source of case material with digests of over 500,000 cases drawn from a thousand different series of law reports covering a period from medieval times to the present day. It provides, in summary form, the whole case law of England and Wales, together with a considerable body of cases from the courts of Scotland, Ireland, Canada, Australia, New Zealand and other countries of the Commonwealth plus cases dealing with EU law. The Digest gives a concise statement of the effect of each case and enables the user to know where to look and what to expect to find, when the report itself is examined in full. The Digest is the essential case companion to Halsbury's Laws of England, with a title classification and arrangement modelled on Halsbury's Laws, but providing the reader with more detail. The Digest may be described as a super-index to the Law Reports and, in fact, is the only index to the Law Reports 1865-1950. It is a vital source for British, Commonwealth and European cases as it covers all important points of principle and includes an annotated history of each case. The complete Digest set consists of: over 130 volumes; Consolidated Table of Cases (in three volumes); an Index (in three volumes); and an annual Cumulative Supplement (in three volumes). Updating: Reissue Volumes: volumes are revised and reissued when necessary to take account of changes in law and practice. A number of Reissue volumes are published each year and are charged separately on publication. Annual Cumulative Supplement: brings the work up-to-date to the end of the previous year and is charged separately on publication. Index and Consolidated Table of Cases: revised annually and charged separately on publication.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.212 | 0.111 |
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".