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Record W3110296451

The Impact of increasing oil and natural gas production on economic and diplomatic power.

2019· article· en· W3110296451 on OpenAlexaboutno aff
Christopher J. Herold

Bibliographic record

VenueIke Skelton Combined Arms Research Library (CARL) Digital Library (US Army Combined Arms Center) · 2019
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsProduction (economics)Power (physics)Natural gasNatural (archaeology)Oil and natural gasNatural resource economicsEconomicsFossil fuelEnvironmental scienceWaste managementEngineeringHistoryMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

The United States has rapidly increased production of oil and natural gas in the wake of the shale revolution. This increase occurs while renewable energy sources are rapidly expanding to put downward pressure on oil and natural gas demand. This thesis examines how this increase affects the global energy market and provides economic and diplomatic options to the United States. It applies a case study methodology to examine the increase in oil and natural gas production in the Soviet Union from 1956 to 1989 and Canada from 1981 to 2007. The results of this analysis show that a free market economy limits the Unites States from employing all the centralized methods employed by the Soviet Union. Despite this limitation, the United States should review the Strategic Petroleum Reserve and consider keeping some production capacity in reserve, expand the construction of liquid natural gas facilities to provide strategic options, and resume a leadership role in emissions restrictions to benefit growth.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
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 score0.314
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.008
Open science0.0010.001
Research integrity0.0000.001
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 head0.010
GPT teacher head0.257
Teacher spread0.247 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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