MétaCan
Menu
Back to cohort
Record W3142859212 · doi:10.1177/00207020221097998

Power Shift: The Global Political Economy of Energy Transitions

2022· article· en· W3142859212 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

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2022
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsQueen's University
Fundersnot available
KeywordsPower (physics)Economic systemPolitical economyPolitical scienceEconomicsPhysics

Abstract

fetched live from OpenAlex

Energy transitions are fundamental to achieving a zero-carbon economy. This book explains the urgently needed transition in energy systems from the perspective of the global political economy. It develops an historical, global, political and ecological account of key features of energy transitions: from their production and financing, to how they are governed and mobilised. Informed by direct engagement in projects of energy transition, the book provides an accessible account of the real-world dilemmas in accelerating transitions to a low carbon economy. As well as changes to technology, markets, institutions and behaviours, Power Shift shows that shifts in power relations between and within countries, and across social groups and political actors, are required if the world is to move onto a more sustainable path. Using contemporary and historical case studies to explore energy transitions, it will be of interest to students and researchers across disciplines, policymakers and activists.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.903
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.258
Teacher spread0.253 · 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