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Record W2014962497 · doi:10.1115/ipc2002-27162

To Comply: Why Should I?

2002· article· en· W2014962497 on OpenAlexaffabout
Chantal Robert, Nadia Be ́langer

Bibliographic record

Venue4th International Pipeline Conference, Parts A and B · 2002
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsCanada Energy Regulator
Fundersnot available
KeywordsMandateBusinessEnforcementPipeline transportCommodityJurisdictionAuditStatutory lawPublic interestGovernment (linguistics)FinanceElectricityAccountingEnvironmental economicsEngineeringEconomics

Abstract

fetched live from OpenAlex

The National Energy Board (NEB) is a Canadian federal regulatory agency whose mandate under the NEB Act is to regulate the construction and operation of interprovincial and international oil, gas and commodity pipelines; the construction and operation of international and designated interprovincial power lines; the setting of tolls and tariffs for oil and gas pipelines under its jurisdiction; the export of oil, natural gas and electricity, and the import of natural gas. International and interprovincial pipelines are subject to the statutory requirements of the NEB Act and Regulations made by the NEB. The regulations typically incorporate consensus standards such as the Canadian Standards Association (CSA Z662 - Oil and Gas Pipeline Systems). The NEB tracks and monitors compliance to ensure that companies fulfill the requirements of the Act and Regulations as well as any conditions imposed at the time of approval of the facilities. In carrying out its mandate, the NEB promotes the safety of people, the protection of property and the environment, and economic efficiency in the Canadian public interest. Recently, the NEB has implemented a formal system to track and monitor compliance. In approving new projects, the NEB imposes conditions outlined in approval Orders and Certificates. It then tracks these conditions for compliance, completeness and effectiveness. The compliance information is gathered mainly from activities such as inspections, audits and company filings. This paper explores in greater detail the NEB’s role in terms of tracking and monitoring compliance, NEB expectations of regulated companies and the effectiveness of a self-reporting condition. It also discusses the advantages for companies to be in compliance and its importance.

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)0.029
metaresearch head score (Gemma)0.123
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: Commentary · Consensus signal: Commentary
Teacher disagreement score0.037
Threshold uncertainty score0.155

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.123
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0110.013
Scholarly communication0.0140.017
Open science0.0030.008
Research integrity0.0170.017
Insufficient payload (model declined to judge)0.0370.020

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 head0.060
GPT teacher head0.269
Teacher spread0.208 · 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
GenreCommentary

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
Published2002
Admission routes2
Has abstractyes

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