MétaCan
Menu
Back to cohort
Record W2027809080 · doi:10.1162/glep_a_00082

Global Governance from the Amazon: Leaving Oil Underground in Yasuní National Park, Ecuador

2011· article· en· W2027809080 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueGlobal Environmental Politics · 2011
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsAmazon rainforestCorporate governanceIndigenousGlobal governanceNational parkEnvironmental governanceHarmony (color)Political scienceLatin AmericansEconomyEnvironmental protectionGeographyPoliticsBusinessLawEconomicsEcologyArchaeology

Abstract

fetched live from OpenAlex

This article explores the saga of the campaign to save the Ishpingo-Tambococha-Tiputini (ITT) block of the Yasuní National Park in Ecuador's Western Amazon, a story of the complex transnational networks and global governance mechanisms that have emerged to create post-Kyoto solutions for the planet. Ecuador's Yasuní-ITT Initiative to keep nearly 900 million barrels of oil underground in exchange for global contributions for avoided emissions presents an alternative norm for global environmental governance in line with the indigenous concept of buen vivir, or the good life. This means living in harmony with nature, and is embodied in the Ecuadorian Constitution of 2008. These changes, however, are not without pressures and inconsistencies at the domestic and international levels. Ultimately, the Yasuní-ITT Initiative and subsequent UNDP Yasuní Trust Fund offer replicable models for other fossil fuel dependent and megadiverse countries in the developing world.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.324
Threshold uncertainty score0.657

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 studies0.0000.000
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 head0.013
GPT teacher head0.188
Teacher spread0.175 · 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