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Record W2969571051 · doi:10.1093/jeea/jvz040

JEEA-FBBVA LECTURE 2017: The Dynamics of Environmental Politics and Values

2019· article· en· W2969571051 on OpenAlexaff
Timothy Besley, Torsten Persson

Bibliographic record

VenueJournal of the European Economic Association · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsCanadian Institute for Advanced Research
FundersEuropean Research CouncilVetenskapsrådet
KeywordsMaterialismDamagesEnvironmentalismPoliticsWelfareEconomicsState (computer science)Competition (biology)Welfare statePhenomenonEnvironmental degradationPublic economicsPolitical economyPolitical scienceMarket economyLawEcologyBiology

Abstract

fetched live from OpenAlex

Abstract This paper develops a framework to study environmentalism as a cultural phenomenon, namely as reflecting a process of social identification with certain values. The model is used to explain how the shares of environmentalists and materialists in society can coevolve with taxes on emissions to protect society against damages caused by environmental degradation. These policies are determined by electoral competition. However, even though politicians internalize the welfare of those currently alive and pick utilitarian optimal policies, the dynamic equilibrium paths of policies and evolving values may not converge to the steady state with the highest level of long-run welfare.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.004
Scholarly communication0.0060.003
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.007
GPT teacher head0.212
Teacher spread0.204 · 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

Citations31
Published2019
Admission routes1
Has abstractyes

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