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Record W2403379178 · doi:10.1080/09538259.2016.1145382

Ecological Political Economy: Towards a Strategic-Relational Approach

2016· article· en· W2403379178 on OpenAlexafffund
Noah Quastel

Bibliographic record

VenueReview of Political Economy · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsSimon Fraser University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCapitalismCommodificationEconomic systemPoliticsHegemonyFutures contractEconomicsState (computer science)SociologyPolitical economyEconomyEcologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

This article identifies three distinct traditions in what might be described as ‘ecological political economy’. First, a ‘Promethean’ approach posits that capitalism has a relentless drive towards growth and bears responsibility for the wholesale transformation of nature. Second, critics of sustainable capitalism acknowledge the possibility of capitalist futures with a better management of natural resources and carbon emissions. The Strategic Relational Approach, developed by Bob Jessop and Ngai-Ling Sum, points to a unique third type of ecological political economy. Each approach is shown to have distinct views concerning the commodification of nature, the role of the state and ways to understand ecological and social transitions. The Strategic Relational Approach points to the possibility of counter-hegemonic strategies and collective mobilization to transform the state and so redirect, control and contain capitalist relations with nature.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.011
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.003
Science and technology studies0.0020.028
Scholarly communication0.0110.012
Open science0.0020.005
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0030.001

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 head0.074
GPT teacher head0.335
Teacher spread0.260 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations17
Published2016
Admission routes2
Has abstractyes

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