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Record W6984830471

Maritime Law

2005· article· en· W6984830471 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2005
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsScope (computer science)Subject (documents)Law of the seaUnited Nations Convention on the Law of the SeaPort (circuit theory)International waters
DOInot available

Abstract

fetched live from OpenAlex

This substantial work. written by three members of the faculty of the Marine and Environmental Law Institute at Dalhousie University, is part of the Irwin Law, Essentials of Canadian Law series. Running to just over 800 pages of text, it covers the waterfront, so to speak, of its subject matter. An indication of the scope of the text is reflected in the division of labour among the three authors. They co-authored an introductory chapter and each took responsibility for writing different chapters of the rest of the book. Edgar Gold, a former ship captain and a Master Mariner, has been associated with the Faculty of Law at Dalhousie University for over twenty five years and brings to the subject-matter a wealth of practical knowledge, as well as first-hand familiarity with the international legal and regulatory regimes. Professor Gold wrote the chapters on the Shipping Industry, Safety Management of Ships, Marine Insurance, Maritime Collisions, Maritime Salvage and Wreck and Marine Pollution. Professor Chircop, who teaches and writes in the fields of maritime and environmental law, administrative law and coastal and ocean management was responsible for the chapters on Admiralty Jurisdiction, Ownership and Registration of Ships, Maritime Liens, Personal Injury and Death Claims, Pilotage, Towage and Limitation of Liability. Hugh Kindred, a teacher at Dalhousie Law School since 1971, dealt with Carriage of Goods under Charterparties and Bills of Lading, the Carriage of Passengers, General Average and Marine Mortgages. Finally, although not a named co-author, experienced Halifax admiralty lawyer Will Moreira, Q.C., wrote the chapter on Admiralty Procedure.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.163
Threshold uncertainty score0.368

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0090.004
Scholarly communication0.0100.003
Open science0.0020.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1100.034

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.

Opus teacher head0.025
GPT teacher head0.211
Teacher spread0.186 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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