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Record W3035365555 · doi:10.1017/9781108675321.012

Developing a Trade and Indigenous Peoples Chapter for International Trade Agreements

2020· book-chapter· en· W3035365555 on OpenAlexaffabout
Risa Schwartz

Bibliographic record

VenueCambridge University Press eBooks · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsIndigenousRatificationPolitical scienceInternational tradeIndigenous rightsGeographyHuman rightsBusinessLawPoliticsEcology

Abstract

fetched live from OpenAlex

In Chapter 10, Risa Schwartz discusses the development of a trade and Indigenous peoples chapter, looking at the development of provisions that provide for set-asides and carve-outs in earlier FTAs to more modern provisions that recognize Indigenous rights. The chapter traces how advocacy of Indigenous peoples in international trade and investment laid the groundwork for both Canada and New Zealand to substantively address Indigenous rights. Although we have yet to see the establishment of a new chapter specifically for trade and Indigenous peoples, the USMCA, which is undergoing ratification, is the first agreement to include a General Exception that protects the rights of Indigenous peoples for all signatories. These new preferences and protections for Indigenous peoples in Canada, Mexico and the United States signal a new relationship between Indigenous peoples and international trade.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.996
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.035
GPT teacher head0.236
Teacher spread0.201 · 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 teacher head, not a consensus.

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

Citations5
Published2020
Admission routes2
Has abstractyes

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