TOWARDS GLOBAL LANGUAGE OF LAW - RECENZJA, COMPARATIVE LEGAL LINGUISTICS. LANGUAGE OF LAW, LATIN AND MODERN LINGUA FRANCAS. 2nd ed. AUTORSTWA HEIKKI E.S. MATTILA
Bibliographic record
Abstract
Simultaneously, the French original of the English translation was printed in Quebec by the publishing house Yvon Blais as Jurilinguistique comparée.Both books that originate from the Finnish Vertaileva oikeuslingvistiikka (2002) are discussed below in a combined review.Already the first editions of the Finnish and English linguistic versions were acclaimed by many reviewers.It is to be expected that also the expanded second English edition will be even more appreciated by teachers and students alike.The French edition, for its part, will hopefully make legal linguistics in its global perspective better known in the French-speaking parts of the world.Mattila's textbook on comparative legal linguistics in its Finnish-, English-and French-language versions established itself as the most authoritative account of legal-linguistic achievements in the concerned academia worldwide.Overall, as far as one can see, Mattila's work is the only introductory textbook into problems of comparative law and legal language available today.It is the most reliable source of information for everyone interested in the linguistic aspects of law. Structure and merits of the English editionThe English edition consists of four main parts: Part 1 General Introduction that covers problems of legal language and legal linguistics, Part 2 Legal Language as a Language for Special Purposes that describes the functions and the characteristics of the legal language and deals with legal terminology in general, Part 3 The Major Languages in the World that characterizes legal Latin, legal German, legal French, legal Spanish, and legal English.Part 4 contains Conclusions.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.004 |
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".