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Record W72928733

Tar Sands and the Keystone XL Oil Pipeline

2012· article· en· W72928733 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Science Teacher · 2012
Typearticle
Languageen
FieldChemistry
TopicPetroleum Processing and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsOil sandsAsphaltSynthetic crudeOil shalePetroleumUnconventional oilSteam-assisted gravity drainageShale oilPetroleum engineeringFossil fuelKerogenGeologyEnvironmental scienceMining engineeringWaste managementSource rockArchaeologyEngineeringGeographyPaleontology
DOInot available

Abstract

fetched live from OpenAlex

Fossil fuels--coal, oil, and natural gas--account for about 90% of global energy use (Botkin and Keller 2011). Crude oil--a complex mixture of hydrocarbons--is refined into gasoline, heating oil, asphalt, plastics, kerosene, and other products. Some analysts believe that peak cheap (when Earth's supply of reasonably priced oil runs out) is only a couple of decades away (see On the web). Consequently, more countries are pursuing unconventional sources of oil, including tar sands and oil shale. Oil shale is a type of sedimentary rock containing kerogen, which yields oil when heated. Tar sands (or oil sands) contain bitumen, which yields oil when mixed with hot water. Many analysts believe these unconventional sources of oil will buy us time (see On the web). Let's look more closely at tar sands. Tar sands The United States Department of Energy provides basic background information about tar sands (see On the web). Tar sands are very unevenly distributed around the planet, with about 75% of known deposits near Alberta, Canada. These deposits provide about 10% of North American oil production (Botkin and Keller 2011), and that percentage is expected to rise. Pipelines help move this oil to the United States. As demand for the oil grows, controversy abounds about the possible economic and environmental effects of further development of Canadian tar sands. Keystone XL pipeline TransCanada, a major Canadian energy company, has been working for almost five years to get approval to build an extension to its pipeline system to carry oil from the tar sands region of Alberta to multiple locations in the United States. The Keystone XL Pipeline, as the extension is known, has faced opposition from both American refineries and environmentalists. Recently, despite a rerouting of the proposed line, President Obama postponed any final decision on approval of the pipeline extension until 2013 (see On the web). Classroom activities You'll find a plethora of educational resources from Canada, the global tar sand leader. Various Canadian schools have projects and activities to help students understand the tar sand industry, from the players involved to the potential environmental impacts. The University of British Columbia has a take-home experiment in which students can explore the physics of tar sands by analyzing various methods of separating canola oil and water (see On the web). …

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.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.348
Threshold uncertainty score0.581

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.014
GPT teacher head0.260
Teacher spread0.246 · 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