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Record W6940611559 · doi:10.11575/prism/35910

Examining The Impact Of The Regulatory Review Process For Transcanada’s Keystone Xl Project On Existing And Future North American Transboundary Pipeline Projects

2014· other· en· W6940611559 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2014
Typeother
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsPipeline (software)Keystone speciesProcess (computing)ObstacleBattlePoliticsNational Environmental Policy ActEnvironmental impact statementPublic opinion

Abstract

fetched live from OpenAlex

The primary purpose of our project was to examine the impact of the protracted regulatory process for TransCanada’s Keystone XL pipeline on the North American oil transportation system. We have examined the various economic, environmental and legal issues associated with the Keystone XL project at the U.S. and Canadian federal, state and provincial levels, as well as the associated implications that are observed and anticipated as a result of the project being delayed. Due to a lack of additional pipeline infrastructure to transport new Western Canadian oil production to the Gulf Coast where it is in highest demand in the United States, Canada has suffered a significant economic loss due to the differential between Western Canadian Select (WCS) crude oil and Western Texas Intermediate (WTI). Due to the various precedents set by the Keystone XL project review, it is likely that future transboundary projects originating in both Canada and the US will experience similar unpredictability. As evidenced by the ongoing delay in the Keystone XL project, it appears that the major obstacle to carry a proposed project forward in this era is no longer scientific or financial considerations, but instead it is now a battle of public opinion and political influence.

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)0.042
metaresearch head score (Gemma)0.075
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.684
Threshold uncertainty score0.628

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.075
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.003
Science and technology studies0.0050.002
Scholarly communication0.0060.003
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.023
GPT teacher head0.233
Teacher spread0.209 · 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 designQualitative
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
Published2014
Admission routes1
Has abstractyes

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