The annihilation of time by space: Pluri-temporal strategies of capitalist circulation
Bibliographic record
Abstract
This paper contributes to thinking about the circulation of commodities across global supply chains by considering moments when circulation is intentionally slowed down for the purpose of capital accumulation. I examine oil tank farms at sites such as Cushing, OK, which act as a spatial fix allowing producers and speculators to place millions of barrels into storage during moments of overproduction. Oil storage is largely driven by futures markets. When prices are low, speculators store oil in order to derive higher profits by selling their product at a later date – a strategy that I describe as the annihilation of time by space. However, as tanks fill up, the crisis of overproduction begins to express itself as a shortage of storage capacity. In the absence of tank space, speculators have turned to supply chain infrastructures such as railcars and oil tankers as creative storage alternatives. Any empty space remaining in tanks becomes highly valued and traded or speculated upon as its own commodity. Ultimately, this paper offers a corrective to recent literature on global capitalist supply chains by demonstrating that capital accumulation relies not only on the speedy movement of commodities across global space; rather, capital employs pluri-temporal strategies of circulation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.022 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".