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Record W4386991832 · doi:10.1080/21598282.2023.2256474

Who Is Responsible for the Climate Crisis? A Perspective from the Global South

2023· article· en· W4386991832 on OpenAlex
Paramjit Singh, Ashman Bajwa

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

VenueInternational Critical Thought · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsYork University
FundersDepartment of Forestry, Fisheries and the EnvironmentAlfred Wegener Institute Helmholtz Centre for Polar and Marine ResearchMinistry of EnvironmentInternational Centre for Integrated Mountain Development
KeywordsContext (archaeology)EconomicsDebtGreenhouse gasClimate changeDebt crisisClimate change mitigationGlobal warmingNatural resource economicsMacroeconomicsGeography

Abstract

fetched live from OpenAlex

This article argues that insistence on adaptation to climate change, popularised by the rich nations of the Global North, is crowding out discussions on mitigation strategies. Mitigation (or degrowth) is central to formulating a fair and collective strategy to tackle the climate crisis at the global scale. In this context, we have calculated the historical cumulative emissions, material footprints, and carbon debt, which are essential prerequisites to tackling the climate crisis. This article empirically proves that the Global North owes a huge carbon debt based on historical cumulative emissions. We estimate the carbon debt of all the outlier countries (carbon debtors) to be US$ 3127.28 trillion, of which the US (the United States) and EU (European Union, including 28 countries) owe US$ 1174.19 and US$ 771.90 trillion, respectively. The paper concludes that any adaptation policy requires settling this debt through directly financing adaptation operations in the poor countries of the Global South and effective mitigation (de-growth) policies in the Global North.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.924
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.144
GPT teacher head0.369
Teacher spread0.225 · 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