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Record W2322952172 · doi:10.17742/image.sightoil.3-2.4

UNCONVENTIONAL OIL AND THE GIFT OF THE UNDULATING PEAK

2012· article· en· W2322952172 on OpenAlexvenueaboutno aff
Allan Stoekl

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2012
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsExternalityEconomicsImpossibilityRecessionAgency (philosophy)Fossil fuelSustainabilityUnconventional oilPeak oilNatural resource economicsGreat recessionEconomyClimate changeMicroeconomicsKeynesian economicsPolitical scienceLawSociologyGeology

Abstract

fetched live from OpenAlex

In the first part of this essay, I consider why the discussion over the likelihood of imminent “peak oil” has faded from public view in the last few years. I suggest that, due to the decline in demand (due to the recession) and the development of “unconventional” natural gas and oil sources, the “cost” of fuels has passed from the obvious rise in price to that of another dimension: the rise of hidden, “external” costs—a recession triggered by too-high prices, pollution, climate change, and so on. I argue, moreover, that this externalized cost forever defies precise measurement. This is clear, for example, in the case of the “unconventional” production of gas in the “tar sands” region of Alberta. How can one measure the cost of drifting underground plumes of arsenic that may not show up for hundreds of years? All of this makes a precise calculation of “sustainability” just about impossible, while at the same time not absolving us—all of those living in the current fossil-fuel civilization—from attempting to calculate it. In the final part of the essay, I suggest that our subjectivity—as consumers, as free agents—is itself an after-effect of the agency of oil: we as subjects are interpellated by oil. Thus one response to the unknowability of externalities—tied to the impossibility of the “closed economy” of sustainability calculation—may be a different model of agency, in which calculation is replaced, or supplemented, by the act of gift-giving. Most important, perhaps, would be the giving of the gift of oil “addiction” not to any recipient (or agent), but to a necessarily repeated forgetting.

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)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.523
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.007
Scholarly communication0.0000.003
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 head0.031
GPT teacher head0.400
Teacher spread0.370 · 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.

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

Citations12
Published2012
Admission routes2
Has abstractyes

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