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Record W4361206226 · doi:10.1080/13563467.2023.2184468

Mobilising critical international political economy for the age of climate breakdown

2023· article· en· W4361206226 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

VenueNew Political Economy · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsUniversity of Victoria
FundersH2020 European Research Council
KeywordsPraxisPoliticsInternational political economyClimate changeArgument (complex analysis)Political economy of climate changePolitical scienceEconomicsSociology

Abstract

fetched live from OpenAlex

Globally accelerating environmental breakdown necessitates a large-scale mobilisation not only of the natural and engineering sciences, but also of insights generated from social sciences. Consequently, recent interventions in International/Global Political Economy (IPE) demand a gearing of the field towards putting climate breakdown centre stage. We respond to this call by drawing attention to the role critical IPE approaches can offer to the field to engage with climate breakdown more comprehensively and consistently. We argue that critical IPE can do so by combining problem-driven and praxis-oriented emancipatory perspectives, leading to systematic and concrete research programmes that are indispensable in the age of climate breakdown. We support our argument by documenting and systematising this potential across three core IPE themes:economic growth, state theory and global finance. In order to unlock its full potential for centring climate breakdown, we argue that critical IPE should better embrace multidisciplinarity and intersectional approaches, and produce more empirical work and methodological advances in future research.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.976
Threshold uncertainty score0.999

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)0.0020.000

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 head0.031
GPT teacher head0.297
Teacher spread0.265 · 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