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Record W2763265228 · doi:10.29173/cjs28258

Canada’s Carbon-Capital Elite: A Tangled Web of Corporate Power

2017· article· en· W2763265228 on OpenAlexafffundvenueabout

Bibliographic record

VenueThe Canadian Journal of Sociology · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Acceptance of Renewable Energy
Canadian institutionsUniversity of Victoria
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of Victoria
KeywordsEliteOligarchyCapital (architecture)Power (physics)SociologyEconomicsDemocracyFinancial capitalEconomic systemPolitical economyPolitical scienceMarket economyLawPoliticsHuman capital

Abstract

fetched live from OpenAlex

This article maps the organization of corporate power within Canada’s carbon-capital elite. It charts the elite’s accumulation base, its internal structure as a network of interlocking directorates and its ties to the financial sector and other segments of corporate capital – national and transnational. The analysis identifies a tightly-knit, local network of mid-sized carbon-capital firms linked into the broader power structure largely through mediating relations that involve the largest carbon-capital corporations. The architecture of corporate power resembles an entrenched oligarchy; however, both policy sociology and public sociology can contribute toward checking its power through effective regulation while facilitating discussion of energy democracy as a transformative alternative.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.262
Teacher spread0.235 · 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; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

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

Citations32
Published2017
Admission routes4
Has abstractyes

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