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Record W3133449865 · doi:10.5547/01956574.43.3.wwal

Fracking and Structural Shifts in Oil Supply

2021· preprint· en· W3133449865 on OpenAlexaff
W. David Walls, Xiaoli Zheng

Bibliographic record

VenueThe Energy Journal · 2021
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicNatural Resources and Economic Development
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsOil supplyHydraulic fracturingDirectional drillingOil priceEconomicsProduction (economics)Supply sideFossil fuelNatural resource economicsOil productionOil drillingSupply shockPetroleum engineeringDrillingMonetary economicsMarket economyMicroeconomicsEngineeringWaste management

Abstract

fetched live from OpenAlex

The adoption of hydraulic fracturing (fracking) and horizontal drilling technology substantively altered the structure of oil supply. Using disaggregate state-level data from the U.S, this paper provides empirical evidence that oil supplies are now asymmetric with respect to price changes as a result of the adoption of new production methods. The changed structure of U.S. oil supply—particularly the low supply elasticities for price declines and large supply elasticities for price increases—is consistent with the ineffectiveness of OPEC policies intended to drown fracking American producers in oil.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.759

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.207
Teacher spread0.187 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2021
Admission routes1
Has abstractyes

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