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Record W2913834977 · doi:10.11575/prism/30069

Value-Added for Whom? An Assessment of Alberta's Bitumen Royalty-in-Kind Program

2015· article· en· W2913834977 on OpenAlexaboutno aff
Allison Robins

Bibliographic record

VenuePRISM (University of Calgary) · 2015
Typearticle
Languageen
FieldEnergy
TopicEnergy, Environment, and Transportation Policies
Canadian institutionsnot available
Fundersnot available
KeywordsValue (mathematics)AsphaltActuarial scienceBusinessEconomicsHistoryStatisticsMathematicsArchaeology

Abstract

fetched live from OpenAlex

Non-renewable resource revenues comprise a significant portion of Alberta’s total revenue. These revenues facilitate a high level of government spending per-capita, and prior to 2009, contributed to a 14-year stretch of surpluses. Since 2009, bitumen royalties have occupied the largest share of resource revenues. Given that revenues are both volatile and finite, provincial governments have an incentive to maximize their value. There is a widely held perception in Alberta that bitumen extraction does not add value, and that instead, value arises from downstream activities such as upgrading and processing. Since Peter Lougheed led the Progressive Conservatives to victory over the Social Credit party in 1971, successive governments have attempted to diversify the province’s resource-based economy. Using a “forced growth” approach to economic diversification, provincial governments targeted specific industries and firms to assist. Many of these initiatives, however, have failed, costing Albertan taxpayers hundreds of millions of dollars. An agreement made under the province’s Bitumen Royalty-in-Kind (BRIK) program is one of the latest examples of the province acting as an entrepreneur. The agreement between the Northwest Redwater Partnership and the provincial government is, in essence, a loan guarantee that has facilitated the construction of the 150,000 barrel per day Sturgeon Refinery. It is estimated that over the lifetime of the project that the refinery will result in a total liability of $26 billion dollars.

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)0.005
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.076
Threshold uncertainty score0.448

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0050.002
Scholarly communication0.0080.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.016
GPT teacher head0.259
Teacher spread0.243 · 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 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
Published2015
Admission routes1
Has abstractyes

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