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Record W3125069288

Public Preferences for Environmental Policy Responsibility

2011· article· en· W3125069288 on OpenAlexaboutno aff
David M. Konisky

Bibliographic record

VenueSSRN Electronic Journal · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental Justice and Health Disparities
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental policyPublic policyPublic economicsBusinessNatural resource economicsEconomicsPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

examines citizens ’ preferences for assigning policy responsibility for environmental problems to different levels of government. I find that the public generally prefers the federal government to take the lead in addressing most issues, particularly those that relate to pollution and those that have a national or global scale.The public, however, prefers to give more responsibility to state and local governments to handle local-level issues. These results suggest a desire among many in the public to match governmental policy assignment with the geographic scale of the problem. The best predictor of individual’s choice of government level is political orientation, and to a lesser extent one’s general confidence in each level of government. Should the responsibility to address environmental problems rest with the national or subnational levels of government? This question has been at the center of a long-standing debate about the institutional design of environmental policy in the United States (Anderson and Hill 1997; Esty 1996; Kraft and Scheberle 1998), and in other federal systems of government, such as Canada (Harrison 1996) and Germany (Rose-Ackerman 1995). For much of the past half century, U.S. envi-ronmental policy can, in part, be characterized, as a tug-of-war between federal,

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)0.003
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.071
GPT teacher head0.320
Teacher spread0.248 · 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
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

Citations1
Published2011
Admission routes1
Has abstractyes

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