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Record W2354335714

Non-technical risk of oil and gas cooperation in North America developed area——Analysis of Canada's North Gateway

2015· article· en· W2354335714 on OpenAlexaboutno aff
LU Ruqua

Bibliographic record

VenueInternational Petroleum Economics · 2015
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsnot available
Fundersnot available
KeywordsRequisitionGateway (web page)Government (linguistics)IndigenousPoliticsBusinessDistribution (mathematics)Economic growthEconomicsPolitical scienceMarketingLaw
DOInot available

Abstract

fetched live from OpenAlex

Non-technical risk refers to other factors that may have major impact on project development besides oil and gas exploration and development technology, including environmental protection, land requisition and resettlement, and labor safety. It is divided into two aspects, i.e., legal, and social-political restraints, which run through the whole life cycle of project development. Businesses suffer from great losses because of non-technical risk, the biggest slice in the cause of project delay. The North Gateway is facing problems involving environment, community, political orientation, government approvals, etc. Improper communication with the indigenous people could be the main reason for project period delay, and another reason could be provincial income distribution. The debate of localization and project benefi t evaluation led to the lag for the government approval. To control nontechnical risk, oil companies in North America developed area should put emphasis on analysis of stakeholders and communication with them, deal with the problem of indigenous people, and conduct coordination and communication between the governments for cross-regional(cross-provincial) projects.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.013
GPT teacher head0.225
Teacher spread0.212 · 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 designSimulation or modeling
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
Published2015
Admission routes1
Has abstractyes

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