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Record W4246807464 · doi:10.3138/9781442697485-fm

Frontmatter

2010· book-chapter· en· W4246807464 on OpenAlexafffundabout
Recto Running

Bibliographic record

VenueUniversity of Toronto Press eBooks · 2010
Typebook-chapter
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsCarleton UniversityUniversity of TorontoYork University
FundersGovernment of Canada
KeywordsComputer science

Abstract

fetched live from OpenAlex

As energy prices continue to soar, there is a growing interest in how to better manage and regulate energy sources and their production.Governing the Energy Challenge is a comparative study between Canada and Germany that features essays by leading energy and public policy specialists from both countries.It identifies numerous strategies to produce more efficient and sustainable energy by revealing the ways in which Germany, as a member of the European Union, is more advanced in dealing with multi-level governmental tensions and sustainability constraints than Canada is as a member of NAFTA.Paying particular attention to the relationship between environmental study, climate change issues, and economic market reforms, this volume analyses the influence that the energy sector and multi-level institutional arrangements have on energy governance.The contributors provide valuable information on the formation of energy policy, offering insights into the growing differences between countries that are members of NAFTA and those that are members of the European Union.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.127
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.8730.803

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 head0.014
GPT teacher head0.195
Teacher spread0.181 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2010
Admission routes3
Has abstractyes

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