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Record W4200588082 · doi:10.1163/1569206x-12341971

Crisis in the Tar Sands: Fossil Capitalism and the Future of the Alberta Hydrocarbon Economy

2021· article· en· W4200588082 on OpenAlexaboutno aff
Tyler McCreary

Bibliographic record

VenueHistorical Materialism · 2021
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsCapitalismDilemmaCapital (architecture)IndigenousOil sandsEconomic systemPoliticsPolitical economyEconomyMarket economyEconomicsPolitical scienceGeographyLaw

Abstract

fetched live from OpenAlex

Abstract Using a case study of Alberta, Canada, this paper demonstrates how a geographic critique of fossil capitalism helps elucidate the tensions shaping tar sands development. Conflicts over pipelines and Indigenous territorial claims are challenging development trajectories, as tar sands companies need to expand access to markets in order to expand production. While these conflicts are now well recognised, there are also broader dynamics shaping development. States face a rentier’s dilemma, relying on capital investments to realise resource value. Political responses to the emerging climate crisis undercut the profitability of hydrocarbon extraction. The automation of production undermines the industrial compromise between hydrocarbon labour and capital. Ultimately, the crises of fossil capitalism require a radical transformation within or beyond capital relations. To mobilise against the tar sands, organisers must recognise the tensions underpinning it, developing strategies that address ecological concerns and the economic plight of those dispossessed and abandoned by carbon extraction.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.361
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.004
GPT teacher head0.158
Teacher spread0.155 · 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 teacher head, 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

Citations4
Published2021
Admission routes1
Has abstractyes

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