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Record W827525316

Are we running out of oil

2004· article· en· W827525316 on OpenAlexaboutno aff
Lawrence Martin

Bibliographic record

VenueTransport Research Forum · 2004
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsPacePeak oilEconomic shortageChinaRecessionEconomicsQuarter (Canadian coin)Oil reservesNatural resource economicsResource (disambiguation)Oil pricePetroleumFossil fuelEconomic policyEconomyMacroeconomicsMonetary economicsEngineeringPolitical scienceGeographyClimate changeGovernment (linguistics)
DOInot available

Abstract

fetched live from OpenAlex

The world is currently using up oil at somewhere between four and nine times the rate it is being discovered. The 'depletionists' (or peak theorists) maintain that a sudden downturn in oil output is imminent, resulting in sharp prices increases that will lead to economic and social turmoil. In contrast, the anti-depletionists (represented by international energy agencies, major producers and the oil companies) is that rather than having used half the world's oil reserves, we have used closer to one quarter and that the outlook to 2030 represents no cause for concern. Oil supplies, it is argued, will keep pace with demand, despite the forecast growth in countries such as China. Prices, which the antidepletionists argue signal an impending shortage of oil, have not shown a long-term upward trend. While there have been dramatic price rises in the past, these have reflected market control by OPEC countries rather then a gradually exhausting resource. This paper reviews the main areas of debate between the depletionists and antidepletionists, with particular emphasis on the policy implications of both approaches. (a) For the covering entry of this conference, please see ITRD abstract no. E211825.

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)0.004
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.067
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0050.007
Scholarly communication0.0100.018
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0670.015

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 head0.074
GPT teacher head0.367
Teacher spread0.293 · 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 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

Citations0
Published2004
Admission routes1
Has abstractyes

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