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Record W3035087661 · doi:10.1017/9781108675321.013

The Treaty of Waitangi Exception in New Zealand’s Free Trade Agreements

2020· book-chapter· en· W3035087661 on OpenAlexaff
Amokura Kawharu

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsTreaty of WaitangiTreatyIndigenousContext (archaeology)Government (linguistics)Political scienceLawGeographyArchaeology

Abstract

fetched live from OpenAlex

Amokura Kawharu’s Chapter 11 discusses the “Treaty of Waitangi” exception that is now included in each of New Zealand’s FTAs. The exception is intended to enable the New Zealand government to enact measures in order to give effect to its obligations to Māori under the Treaty of Waitangi, even if the measures are inconsistent with obligations assumed by New Zealand under the FTAs. It has also served as a precedent for other states looking to include a General Exception to protect Indigenous rights. Professor Kawharu examines the circumstances surrounding the adoption and continued use of the exception in New Zealand’s FTA practice as well as the adequacy of the exception in the context of the increasing depth and scale of New Zealand’s participation in FTAs (and, in particular, New Zealand’s expanding commitments with respect to the protection of foreign investment) and proposes options for Māori to consider as means for addressing the issues.

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)0.002
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.126
Threshold uncertainty score0.250

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0050.004
Open science0.0010.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0100.002

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 head0.055
GPT teacher head0.174
Teacher spread0.120 · 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

Citations3
Published2020
Admission routes1
Has abstractyes

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