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Record W2605625963 · doi:10.1177/0263775817703663

Capital’s logistical fix: Accumulation, globalization, and the survival of capitalism

2017· article· en· W2605625963 on OpenAlexaff
Martin Danyluk

Bibliographic record

VenueEnvironment and Planning D Society and Space · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal trade, sustainability, and social impact
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCapitalismAppropriationGlobalizationArgument (complex analysis)ReproductionCirculation (fluid dynamics)Capital (architecture)CommodityConsumption (sociology)Production (economics)Economic systemEconomicsMarket economyNeoclassical economicsEconomyPolitical scienceSociologySocial scienceGeographyLaw

Abstract

fetched live from OpenAlex

The growth and transformation of logistics have been attributed to a specific confluence of forces that compelled firms to turn their attention to the circulation of commodities in the second half of the 20th century. This article seeks to develop a more theoretically informed account of the logistics revolution by delineating the industry’s role in promoting the accumulation of capital and the reproduction of capitalism. Drawing on Marxian geographical thought, I contend that the logistical turn of the past five decades has facilitated a multifaceted “spatial fix” to capitalism’s chronic problem of overaccumulation—one that has reconfigured the geographies of circulation as well as production, consumption, and appropriation. This argument has important implications for our understanding of globalization. By enhancing the mobility of both commodity capital and the production process itself, advances in logistics have been an essential, albeit neglected, condition of global economic integration since the 1970s.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.036
Scholarly communication0.0090.012
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.269
Teacher spread0.238 · 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 designTheoretical or conceptual
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

Citations229
Published2017
Admission routes1
Has abstractyes

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