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Political Economy of the Greening of the State

2016· book· en· W2462333314 on OpenAlexaff
Matthew Paterson

Bibliographic record

VenueOxford University Press eBooks · 2016
Typebook
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsGreeningPoliticsState (computer science)SkepticismMarxist philosophyScale (ratio)Capitalist stateEconomic systemPolitical sciencePolitical economyEconomicsGeographyLawEpistemologyPhilosophyMathematicsCapitalism

Abstract

fetched live from OpenAlex

Two different general claims have been made about large-scale political transformations produced by responses to environmental change. One is the claim that we are witnessing the potential emergence of a “green state,” where states internalize an ecological function as a core state imperative. Another is that we are undergoing a transition to an “environmental state.” The former claim thus envisages a radical transformation and its theory of the state based on historical sociology, while the latter is more skeptical about the capacity of states to undergo radical transformation, being informed by neo-Marxist accounts of the state. This chapter uses responses to climate change—a key test case for claims about large-scale political transformation—to suggest that some substantial transformations in the state are occurring, but that the driving forces are indeed political–economic and thus existing accounts of the “green state” need to be reformulated in this light.

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 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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.851
Threshold uncertainty score0.694

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.021
GPT teacher head0.221
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

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

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

Citations11
Published2016
Admission routes1
Has abstractyes

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