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R<scp>esource</scp>U<scp>se under</scp>C<scp>limate</scp>S<scp>tabilization</scp>: C<scp>an</scp>N<scp>uclear</scp>P<scp>ower</scp>P<scp>rovide</scp>C<scp>lean</scp>E<scp>nergy</scp>?

2012· article· en· W2036338878 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Public Economic Theory · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicClimate Change Policy and Economics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsNuclear powerRenewable energyExternalityElectricity generationEconomicsChemistryMicroeconomicsPower (physics)PhysicsBiologyEcology

Abstract

fetched live from OpenAlex

Abstract The long‐term goal of the Intergovernmental Panel on Climate Change (IPCC) is the stabilization of carbon concentration in the atmosphere. In this paper, we impose a carbon target concentration on a partial equilibrium model of the global energy sector. Specifically, we ask whether nuclear power can provide carbon‐free energy as fossil fuel resources become costly due to scarcity and externality costs. We find that nuclear power can reduce the cost of generating clean energy significantly and relatively quickly. However, beyond a few decades the role of nuclear power may be considerably reduced as uranium becomes scarce and renewables become economical. The cost of carbon when nuclear power supplies a significant share of energy is much lower than that of other studies. A policy implication is that current political and regulatory impediments to the expansion of nuclear generation may prove to be costly if large volumes of clean energy need to be supplied over a relatively short period of time.

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)0.030
metaresearch head score (Gemma)0.082
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Bibliometrics, Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0300.082
Meta-epidemiology (narrow)0.0110.013
Meta-epidemiology (broad)0.0150.009
Bibliometrics0.0130.007
Science and technology studies0.0060.005
Scholarly communication0.0110.021
Open science0.0160.007
Research integrity0.0090.012
Insufficient payload (model declined to judge)0.0010.020

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 head0.070
GPT teacher head0.263
Teacher spread0.193 · 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