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Record W1990379295 · doi:10.12957/geouerj.2014.12864

A GEOGRAFIA DO PETRÓLEO EM TRANSIÇÃO: CONSIDERAÇÕES A PARTIR DAS DESCOBERTAS DE FONTES NÃO CONVENCIONAIS DE PETRÓLEO NA AMÉRICA

2014· article· pt· W1990379295 on OpenAlexaboutno aff
Ciro Marques Reis, Mônica Sampaio Machado

Bibliographic record

VenueGeo UERJ · 2014
Typearticle
Languagept
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeopoliticsRestructuringOil shaleEconomyPolitical scienceGeographyHumanitiesEngineeringEconomicsLawPolitics

Abstract

fetched live from OpenAlex

DOI: http://dx.doi.org/10.12957/geouerj.2014.12864 This article presents some comments regarding the novel geopolitics of oil due to the recent discovery of huge oil deposits of unconventional sources in regions outside of the shaft Middle East-North Africa, specifically in the U.S. shale, tar sands in Canada and pre-salt in Brazil. This study aims outlining some possible geopolitical scenarios taking into consideration the ingress of these new sources of oil in the world trade. In order to do so, this article is organized into three parts.Initially a brief assessment on the state of the art of current studies on the geopolitics of oil in Brazil will be presented. Then, will be exposed the geographical distribution of the oil industry in the world, the main proven reserves, the most important producing and consuming countries and regions, and major refining activities, with emphasis on the role of large companies. Finally, the possibilities of geographical restructuring and geopolitical reordering of oil in the world are presented, considering these new unconventional energy sources in the US, Canada and Brazil.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.285
Teacher spread0.270 · 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 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

Citations1
Published2014
Admission routes1
Has abstractyes

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