Bibliographic record
Abstract
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 distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".