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Record W2246360977 · doi:10.1017/s0266267114000297

ETHICS, EQUITY AND THE ECONOMICS OF CLIMATE CHANGE PAPER 1: SCIENCE AND PHILOSOPHY

2014· article· en· W2246360977 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.

fundA Canadian funder is recorded on the work.
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

VenueEconomics and Philosophy · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicClimate Change and Geoengineering
Canadian institutionsnot available
FundersEconomic and Social Research CouncilGrantham Research Institute on Climate Change and the Environment, London School of Economics and Political ScienceYork University
KeywordsClimate changeEquity (law)Climate sciencePositive economicsAction (physics)Scale (ratio)EconomicsEpistemologySociologySocial scienceEnvironmental ethicsPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This paper examines a broad range of ethical perspectives and principles relevant to the analysis of issues raised by the science of climate change and explores their implications. A second and companion paper extends this analysis to the contribution of ethics, economics and politics in understanding policy towards climate change. These tasks must start with the science which tells us that this is a problem of risk management on an immense scale. Risks on this scale take us far outside the familiar policy questions and standard, largely marginal, techniques commonly used by economists; this is a subject that requires the full breadth and depth of what economics has to offer and a much more thoughtful view of ethics than economists usually bring to bear. Different philosophical approaches bring different perspectives on understanding and policy, yet they generally point to the case for strong action to manage climate change.

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)0.002
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 score0.056
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.050
GPT teacher head0.248
Teacher spread0.199 · 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