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Record W2203698580 · doi:10.1177/002070201006500120

Review: The Tar Sands <i>Dirty Oil and the Future of a Continent</i>

2010· article· en· W2203698580 on OpenAlexaffabout
Paul Chastko

Bibliographic record

VenueInternational Journal Canada s Journal of Global Policy Analysis · 2010
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsOil sandsPoliticsPetroleum industryPetroleumEconomic historyPolitical scienceLawHistoryArchaeologyEngineering

Abstract

fetched live from OpenAlex

THE TAR SANDS Dirty Oil and the Future of a Continent Andrew Nikiforuk Vancouver: Grey stone and the David Suzuki Foundation, 2008. 214pp, $20 paper ISBN 978-1-55362-407-0When it was published in 2008, Andrew Nikiforuk's latest book, The Tar Sands: Dirty Oil and the Future of a Continent, co-published by Greystone and the David Suzuki Foundation, caused a sensation. Hailed in some quarters as a wakeup call to Canadians and the world about the social, economic, and political perils of oil sands development, Nikiforuk's book lambasted federal and provincial politicians and institutions alike for their perceived laxity and complicity in creating an environmental, social, economic, and political disaster. Nikiforuk's harsher critics, on the other hand, derided The Tar Sands as little more than environmental agitprop whose preconceived political and social agenda distorted facts and produced, at best, a misleading and incomplete picture of the industry.To be sure, The Tar Sands is not an academic piece, nor does it aspire to be one. Nikiforuk is animated by the same impulses that drove Ida Tarbell, the infamous muckracker for McClure's Magazine, to tackle John D. Rockefeller's Standard Oil Trust in the late 19th and early 20th centuries. Unlike Rockefeller's creation, which effectively dominated the world's petroleum industry at the beginning ofthe 20th century, however, Alberta's modern oil sands industry operates on the margins of an international petroleum order as a capital-intensive player dependent on economies of scale for profitability. While daily production reached 1.3 million barrels per day in 2008, this represents approximately 1.5 percent ofthe world's daily demand of 85 million barrels per day. Nevertheless, oil sands projects and investments have grown dramatically since 2005 and the Canadian Association of Petroleum Producers estimates that total investment will reach $10 billion in 2009 - one quarter of the total investment in the province of Alberta.Despite claims by the provincial government that it is effectively managing development, Nikiforuk asserts that Alberta's unconventional oil deposits are being recklessly developed by an uncaring oil industry while government agencies and officials at both the federal and provincial levels turn a blind eye to what is taking place in northern Alberta. In places, the analysis is sharp and penetrating and the issues he raises deserve careful consideration. In a province where tar sands-derived royalties and revenues top billions of dollars, deficiencies in funding for social services, health care, and education raise troubling questions about provincial management. So too does the moribund status of vital infrastructure projects, such as the twinning of provincial highway 63 from Edmonton to Fort McMurray, a topic Nikiforuk tackles in a chapter that metaphorically and literally suggests tar sands development is like travelling down a highway to hell. The Tar Sands is intended to provoke a visceral reaction to tar sands development: Nikiforuk is mad as hell and wants everyone to know it.But this passion, which is so clearly evident on every page ofthe book, occasionally leads him astray. He presents energy politics as a zero-sum game in which development proceeds at the expense of every other social, political, economic, and environmental goal. Without a trace of irony, Nikiforuk concludes that Canada's natural resource wealth has imperilled freedom of speech and democratic institutions, and leads him to draw a lazy - and highly suspect - analogy between Canadian public policies and those of other petro-dictatorships, including Vladimir Putin's Russia, Hugo Chavez's Venezuela, and Mahmoud Ahmadinejad's Iran. …

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)0.001
metaresearch head score (Gemma)0.003
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: Review · Consensus signal: Review
Teacher disagreement score0.993
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.005
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0020.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0180.008

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 head0.003
GPT teacher head0.279
Teacher spread0.275 · 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
GenreReview

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
Published2010
Admission routes2
Has abstractyes

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