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Record W4404500650 · doi:10.1080/23251042.2024.2427601

“Green means good:” challenging the absence of international justice in just transition plans

2024· article· en· W4404500650 on OpenAlex
Angeline Marie Letourneau, Lucas Schmaus

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

VenueEnvironmental Sociology · 2024
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEnvironmental justiceEconomic JusticeTransition (genetics)SociologyEnvironmental ethicsPolitical scienceLaw and economicsCriminologyLawPhilosophy

Abstract

fetched live from OpenAlex

Advocates for a green energy transition in advanced economies argue that decarbonization of the economy will maintain or improve quality of life for most people. However, the upstream systems necessary to supply raw resources for a transition of this scale are deeply entangled with human rights infractions and catastrophic environmental harms. To ensure that a transition is truly ‘just’, the need for a significant reduction in greenhouse gas emissions must be reconciled with the impacts that the extraction of raw materials will have. In this paper, we analyze just energy transition policies from core and semi-periphery countries. We demonstrate how these policies focus on minimizing impacts to local labour and domestic companies, failing to address how materials necessary for a transition will be acquired ethically. We note the concerning lack of international justice in energy transition planning. We conclude with recommendations to align global colonial extraction systems with the values of just transitions. We advance the belief that an ethical energy transition is achievable but must move beyond global green capitalism and the colonial systems that uphold it.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.209

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 head0.011
GPT teacher head0.211
Teacher spread0.200 · 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