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Record W2255418619

Native Fishing Rights and Environmental Protection in North America and New Zealand: A Comparative Analysis of Profits a Prendre and Habitat Servitudes

2005· article· en· W2255418619 on OpenAlexaboutno aff
Michael C. Blumm

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicInternational Maritime Law Issues
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyLegislationFishingEnforcementPolitical scienceGovernment (linguistics)FisheryLawProperty rightsBusiness
DOInot available

Abstract

fetched live from OpenAlex

This article examines the legal rights of native peoples in the United States, Canada, and New Zealand to protect and maintain traditional fishing cultures and economies. The article maintains that native fishing rights are real property interests - profits a prendre - which have received significant judicial recognition and protection in the three countries. Although the native right to fish has evolved separately in the three jurisdictions, each country not only recognizes that the native fishing right includes an allocated harvest share but also there is increasing recognition of habitat protection necessary to maintain the fisheries. In the U.S., judicial enforcement of 19th century treaty promises, particularly in the Pacific Northwest, has been central. In Canada, courts have been interpreting a relatively recent constitutional guarantee recognizing and protecting aboriginal and treaty rights. In New Zealand, legislation establishing an advisory tribunal, to which the courts have deferred, has been crucial. The article contends that underlying all three nations' belated recognition of the nature and scope of native fishing rights is the common law nature of the right, springing from time immemorial use, not from government recognition.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.441
Threshold uncertainty score0.888

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0020.005
Scholarly communication0.0030.003
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.007
GPT teacher head0.228
Teacher spread0.221 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations1
Published2005
Admission routes1
Has abstractyes

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