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Record W3113961329 · doi:10.1163/1569206x-12341965

Flagging Profitability and the Oil Frontier

2020· article· en· W3113961329 on OpenAlexaffabout
Geoffrey McCormack, Todd Gordon

Bibliographic record

VenueHistorical Materialism · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsFrontierBoomProfitability indexReal estateEconomicsCapitalismChinaFinancializationMarket economyMarxist philosophyFinancial crisisVolatility (finance)EconomyFinancePolitical scienceKeynesian economicsEngineering

Abstract

fetched live from OpenAlex

Abstract Canadian capitalism has entered a period of intensified volatility. Rooted in persistent profitability problems, it is facing several challenges, including economic stagnation, a household-debt driven real-estate and construction boom, and an increasingly fragile financial system. Drawing on a classical Marxist framework of capitalist crisis, this article explores the dynamics of instability in Canada and the response of the capitalist state, which centres on increased efforts to export oil and gas to China, thereby deepening conflict with Indigenous land defenders, and a redoubling of the assault on workers to increase the rate of exploitation.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.968
Threshold uncertainty score0.469

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.025
GPT teacher head0.235
Teacher spread0.209 · 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

Citations2
Published2020
Admission routes2
Has abstractyes

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