MétaCan
Menu
Back to cohort
Record W2254276833 · doi:10.1162/glep_a_00336

Death and Environmental Taxes: Why Market Environmentalism Fails in Liberal Market Economies

2015· article· en· W2254276833 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueGlobal Environmental Politics · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmentalismEconomicsPoliticsCarbon taxGlobalizationPolitical economyMarket economyInternational political economyClimate policyNeoliberalism (international relations)Ecological modernizationMarket failureGreenhouse gasEconomic policyEconomyPolitical scienceLawNeoclassical economics

Abstract

fetched live from OpenAlex

This article aims to explain why market-based climate policies (carbon levies and emissions trading) have had limited success at the national level in “liberal-market economies” like Australia, Canada, and the United States. This situation is paradoxical to the extent that market environmentalism is often thought to be a concept tailored to the political traditions and policy paradigms in these states. I argue this occurs because precisely in such economies, workers have been the least protected from the market and the effects of globalization, leading to a squeeze on incomes and public services, and providing fertile ground for a virulently antitax politics. When coupled with the disproportionately carbon-intensive lifestyles in these states and the strength of fossil fuel interests, it becomes extremely easy and effective for opponents of climate policy to frame carbon prices as an onerous tax on workers and families. The article explores how this strategy has functioned at a discursive level and considers what this situation implies for climate policy advocates in carbon-intensive, neoliberal polities.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.014
GPT teacher head0.203
Teacher spread0.189 · 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