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Record W4319736349 · doi:10.17645/pag.v11i1.6174

Trade Policy and Ecological Transition

2023· article· en· W4319736349 on OpenAlex
Mathieu Dufour

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

VenuePolitics and Governance · 2023
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsMultinational corporationProfitability indexInvestment (military)CommodityEconomicsOrder (exchange)Economic systemBusinessMarket economyEcologyInternational economicsPolitical sciencePolitics

Abstract

fetched live from OpenAlex

While the global pandemic has taken the front stage since the spring of 2020, environmental issues remain as pressing as ever. In this article, I question whether the current liberalized trade and investment regime is consistent with the possibility of an ecological transition and argue that it is not. The organization of a large part of economic activity on a world scale by multinational corporations, with profitability imperatives and relatively short planning horizons, is inherently conducive to an intensification of resource extraction and commodity production. A liberal trade and investment regime gives free rein to these dynamics, which should instead be curtailed in order to achieve the necessary adjustments to sustainable living. As such, this article will explore ways in which the trade and investment regime could be subordinated to ecological and social concerns and contribute to, rather than hinder, an ecological transition.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.896
Threshold uncertainty score0.174

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 head0.010
GPT teacher head0.212
Teacher spread0.202 · 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