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Record W2092817663 · doi:10.1186/2193-2697-3-10

Policy analysis of China inland nuclear power plants’ plan changes: from suspension to expansion

2014· article· en· W2092817663 on OpenAlex
Jinxin Zhu, Gail Krantzberg

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

VenueENVIRONMENTAL SYSTEMS RESEARCH · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsMcMaster UniversityUniversity of Regina
Fundersnot available
KeywordsNuclear powerChinaRestructuringNuclear power plantGovernment (linguistics)Nuclear energy policyPlan (archaeology)Public policyPoliticsEnvironmental planningBusinessNatural resource economicsEnvironmental protectionEnvironmental resource managementPolitical scienceEconomic growthEnvironmental scienceEconomicsGeographyFinanceEcology

Abstract

fetched live from OpenAlex

Background China's inland nuclear power plants plan has been suspended until 2015 since Fukushima disaster. The policy on inland nuclear power plants becomes uncertain. This paper provides an overview of inland nuclear power plants the safety grantee, economic power on diminishing disparities between Western China and Eastern China, efforts on environmental improvement with reforming of energy restructure and essential public participation. The paper further discusses the government’s current policy and successful experience from other countries. Results The paper gives the recommendations for promoting inland nuclear power plants’ expansion, making economy develop healthily, improving environment and introducing public hearing into the nuclear power development. Conclusions With proper political guiding, China could obtain significant benefits from expanding nuclear power plants from coast to inland.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.175
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.039
GPT teacher head0.250
Teacher spread0.211 · 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