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Record W7028319765

Federalism & Native Hawaiian Claims: Toward an Equitable and Just Solution

2025· article· en· W7028319765 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLibraries and Information Services
Canadian institutionsnot available
Fundersnot available
KeywordsSupreme courtSovereigntyNative HawaiiansFederalismState (computer science)IndigenousSelf-determinationDeclaration of independence
DOInot available

Abstract

fetched live from OpenAlex

This article discusses a hypothetical case: on behalf of the Native Hawaiian People as a whole, a group of Native Hawaiians has petitioned a Hawai’i State court seeking two declaratory rulings. First, a declaration that Native Hawaiians have not lost their inherent sovereignty as an indigenous people. Second, a declaration that Native Hawaiians collectively retain a beneficial interest in the former Crown Lands of Hawai’i. The article responds affirmatively to those requests, in the form of a draft opinion by a fictional Justice of the Hawai’i Supreme Court. Citing long settled U.S. federalism doctrine, the text explains that the State of Hawai’i possesses concurrent power with the United States to recognize the inherent sovereignty of Native Hawaiians, and to define the legal scope of that sovereignty as a matter of Hawai’i law. Relying upon exisiting Hawai’i legislation, exisiting Hawai’i Supreme Court precedent, and a similar doctrine developed by the Supreme Court of Canada, the text concludes that Native Hawaiians collectively retain a usufructary right in the remaining publicly-owned Crown Lands. Finally, this article envisions only incremental steps. It is intended and respectfully submitted without prejudice of any kind, conceptual or otherwise, to other, further theories of Native Hawaiian sovereignty and restorative justice.

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)0.008
metaresearch head score (Gemma)0.010
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: Empirical · Consensus signal: none
Teacher disagreement score0.028
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0120.021
Scholarly communication0.0100.010
Open science0.0020.007
Research integrity0.0150.013
Insufficient payload (model declined to judge)0.0060.001

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 head0.044
GPT teacher head0.243
Teacher spread0.199 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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