MétaCan
Menu
Back to cohort
Record W2729009340 · doi:10.2118/0617-0010-jpt

Risk and Reward: Climate Change and SPE

2017· article· en· W2729009340 on OpenAlexaboutno aff
Janeen Judah

Bibliographic record

VenueJournal of Petroleum Technology · 2017
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsClimate changeIcebergCoast guardPoliticsGlobal warmingPolitical scienceGeographySea iceOceanographyMeteorologyEnvironmental protectionLawGeology

Abstract

fetched live from OpenAlex

President's column In early April, the shipping lanes along the coastlines of Newfoundland and Labrador, Canada, were quite congested, but not with tankers. This area of Canada—often called “Iceberg Alley”—was filled with 450 icebergs, floating south. This overabundance appeared suddenly; the US Coast Guard reported the increase from 37 to 450 icebergs in a week. What is the cause? Scientists disagree. Some state that rising temperatures caused by global warming triggered this massive iceberg jam. Others say that it could have been caused by a violent windstorm in St. John’s, Canada, a few weeks earlier. In either case, the “bergy water”—the term used by the Canadian Coast Guard in its ice bulletin—has officials believing that the number of icebergs this year will eclipse last year’s total of 687. Opinions regarding climate change—is it real or not—are polar opposite. There are just as many people who passionately believe it exists and needs to be slowed as those who do not believe it exists. Typically, SPE does not take positions on political or controversial matters. We are a society that disseminates technical knowledge for the upstream segment of the oil and gas industry. But this concern is so prevalent globally that last year, the SPE Board of Directors formed a climate change task force to identify “key aspects of climate change and public perceptions of climate change.” This group also was charged with developing a strategy for SPE’s response and recommending any actions that the society should take. The board also requested that recommendations developed by the task force avoid any approach that could be construed as lobbying or political advocacy, as neither is consistent with SPE’s role and status as a not-for-profit organization. The task force worked diligently for nearly a year studying climate change policies such as the Paris Agreement, which was developed at the 21st annual Conference of Parties. Population growth and economic development are driving increased need for and access to energy, so the Paris Agreement is expected to bring change over the course of this century. It has the potential to usher in new opportunities for SPE members through deploying carbon dioxide capture, use, and storage (CCUS), further accelerating natural gas as an option to coal, changing the infrastructural load as natural gas becomes an essential component of a more flexible power generation system, and pushing oil into new markets as it is displaced from some of its current uses (such as transportation).

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)0.001
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 score0.491
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.284
Teacher spread0.267 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Petroleum TechnologySame topicGlobal Energy and Sustainability ResearchFrench-language works237,207