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Record W3122046829

Impacts of The North American Free Trade Agreement on Indigenous Peoples and Their Interests

2006· article· en· W3122046829 on OpenAlexaff
Brenda L. Gunn

Bibliographic record

VenueSSRN Electronic Journal · 2006
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsIndigenousFree trade agreementFree tradeInternational tradeLiberalizationPolitical scienceTrade agreementInvestment (military)International economicsBusinessEconomicsLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

This article argues that while trade liberalization has the potential to have positive economic effects upon indigenous peoples, NAFTA does not adequately take into account and protect indigenous peoples concerns and interests. While the purpose of international trade regulation is to remove trade barriers and ensure a level playing field, current trade regimes do impact indigenous peoples' rights and interests. Therefore the interaction of international trade and Indigenous peoples' rights merits consideration. The article begins with a brief introduction to NAFTA and describes some of the provisions contained therein. Next, the article looks at the threes governments’ views about NAFTA when it was first enacted and over subsequent years. This discussion is followed by a review of Indigenous peoples’ varied responses to NAFTA. The article ends with an in-depth analysis of Annex II, Chapter Eleven on investment, and the environmental side agreement.

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)0.004
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0050.001
Open science0.0000.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.185
Teacher spread0.172 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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