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Record W4401821807 · doi:10.1049/pbpo251e_ch2

Providing clean and affordable energy for all: possible, practical or propaganda?

2024· book-chapter· en· W4401821807 on OpenAlex
Graham T. Reader

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

VenueInstitution of Engineering and Technology eBooks · 2024
Typebook-chapter
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsClean energyEnergy (signal processing)Environmental economicsBusinessEnvironmental scienceEconomicsPhysics

Abstract

fetched live from OpenAlex

The overarching goal of the 2015 United Nations Sustainable Development Agenda is global poverty eradication. There is general international agreement that a necessary prerequisite for alleviating poverty is universal access to clean and affordable energy, which is also an Agenda goal. Affording clean energy requires consumers to have the financial means to purchase sufficient amounts for the intended purpose. In the case of the general population, this means heating or cooling their living space, providing some lighting after sunset, and cooking food. Therefore, energy affordability and poverty are closely associated, in a similar fashion to the relationships between general poverty and income, and between affordability and cost. But, for some people, affordable energy may not be clean, while clean energy may not be affordable. Presently, unclean energy sources supply at least three-quarters of global energy consumption. Is it economically and technically plausible that they can be wholly replaced by clean sources by 2030?

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)0.000
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.784
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.019
GPT teacher head0.267
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