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Record W2737709965 · doi:10.18740/s4bp7h

Crossroads in Alberta: Climate Capitalism or Ecological Democracy

2017· article· en· W2737709965 on OpenAlexaffvenueabout
Laurie E. Adkin

Bibliographic record

VenueSocialist studies · 2017
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsCapitalismDemocratizationOpposition (politics)DemocracyPolitical economyPoliticsPolitical ecologyCitizenshipClimate changeCivil societyPolitical scienceEconomicsEconomic systemEcologyLaw

Abstract

fetched live from OpenAlex

This paper situates the current political moment in Alberta, Canada, within a broader analysis of the global crisis of fossil capitalism. Alberta’s political economy and ecology are deeply riven by the conflict between its heavy dependence for revenue and employment on the exportation of fossil fuels, on the one hand, and the multiple harms, risks, and forms of opposition to this development model, on the other hand. With the election in May 2015 of a social democratic party, a rare window for change has opened, and much is at stake in the choices and strategies that the new government will adopt. Two potential paths –which parallel what is emerging globally--are becoming clearer: rapid and deep decarbonisation underpinned by an equally deep democratization of citizenship and societal-decision making (ecological democracy), or a “climate capitalist” project to prolong the carbon extractive model.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.329

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.014
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.000

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 head0.042
GPT teacher head0.323
Teacher spread0.281 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations17
Published2017
Admission routes3
Has abstractyes

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