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Record W2169192787 · doi:10.1162/glep_a_00310

International Carbon Trade and Domestic Climate Politics

2015· article· en· W2169192787 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 · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Impact and Sustainability
Canadian institutionsSocial Sciences and Humanities Research Council
Fundersnot available
KeywordsGreenhouse gasFossil fuelNatural resource economicsPoliticsInternational tradeConsumption (sociology)Supply chainBusinessClimate change mitigationEconomicsPolitical scienceWaste managementEcologyLaw

Abstract

fetched live from OpenAlex

This article theorizes about the implications for domestic climate politics of three distinct roles countries play in the global carbon supply chain: fossil fuel producer, manufacturer of carbon-intensive goods, and final consumer. Because international responsibility is assigned to territorial emissions, countries at either end of the global supply chain effectively evade environmental responsibility by shifting fossil fuel combustion to manufacturing countries. In so doing, they lessen the political challenges of reducing domestic emissions. Although exporters of carbon-intensive goods are reluctant to disadvantage local producers, importers can craft policies that both reduce territorial emissions and create local jobs. Ironically, fossil fuel exporters can emerge as leaders in reducing their own territorial emissions, a finding illustrated by case studies of British Columbia and Norway. The conclusion argues that shifting responsibility for carbon emissions to the point of either final consumption or fossil fuel extraction could facilitate an international climate 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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.009
GPT teacher head0.250
Teacher spread0.241 · 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