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Record W3124352885 · doi:10.55016/ojs/sppp.v8i1.42519

The North West Sturgeon Upgrader: Good Money after Bad?

2015· article· en· W3124352885 on OpenAlexafffundabout
F. L. Morton

Bibliographic record

VenueThe School of Public Policy Publications · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Resources Studies
Canadian institutionsUniversity of Calgary
FundersGovernment of Alberta
KeywordsSturgeonFisheryZoologyBiologyFish <Actinopterygii>

Abstract

fetched live from OpenAlex

The North West Upgrader (NWU) project illustrates the risks of government-led efforts to diversify Alberta’s economy. What began as a low-risk, low-cost project to encourage domestic bitumen upgrading has morphed into a multi-billion dollar boondoggle with high risks for Alberta taxpayers. Originally, the Government of Alberta (GOA) intended to collect bitumen from producers in lieu of royalties and sell it to provincial upgraders, adding value to the commodity and creating jobs and revenues in Alberta. The private sector was to build and finance the new upgraders, as well as assume the market risks of low margins. The 2008 financial collapse effectively killed that plan. With just one prospect (NWU) remaining, the Stelmach government decided to be more than the middleman. The GOA committed to retain ownership of the bitumen up to the point of sale, pay NWU a toll for the processing, and then sell the upgraded product. Under a new “take or pay” arrangement, the GOA assumed liabilities estimated at $19 billion over the 30-year contract with NWU, as well as the market risk of having to sell the upgraded product at below costs. As four different premiers and six different energy ministers cycled through Edmonton, construction costs soared to over $8 billion. The original $6.5 billion cap on the GOA’s liability for construction costs disappeared, and the GOA—and by extension, Alberta taxpayers— are now on the hook for $26 billion in processing payments — the equivalent of $63 per barrel. Falling oil prices are further undermining the prospects for the investment to break even. Written from a rare insider’s perspective, this paper analyzes the lack of effective government oversight and due diligence surrounding the North West Upgrade. Rather than being an exception, NWU fits the larger and longer pattern of failed “forced-growth” diversification initiatives in Alberta and other provinces. Alberta politicians should think long and hard before succumbing to the next version of the “refine it where you mine it” diversification siren song.

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)0.003
metaresearch head score (Gemma)0.008
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: Empirical · Consensus signal: none
Teacher disagreement score0.654
Threshold uncertainty score0.689

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.010
Scholarly communication0.0150.008
Open science0.0020.004
Research integrity0.0070.008
Insufficient payload (model declined to judge)0.0220.004

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 head0.067
GPT teacher head0.276
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 designNot applicable
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

Citations2
Published2015
Admission routes3
Has abstractyes

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