Fixing Saskatchewan’s Potash Royalty Mess: A New Approach for Economic Efficiency and Simplicity
Bibliographic record
Abstract
For a government’s fiscal program to best serve the public interest, while also ensuring sufficient public revenue collection, it has to meet three criteria: efficiency, simplicity and fairness. Unfortunately, the royalty and tax system currently in place for Saskatchewan’s robust potash-mining industry is none of these three things; it has actually reached the point of incoherence and absurdity, or a mess. Under the current royalty and tax regime for potash producers, the tangled thicket of royalties, taxes and credits can differ between commencement dates for production, projects of different sizes, or even projects of similar size but with different profitability; it also has potash producers generally enjoying a much lighter tax burden on marginal investments than that borne by the oil and gas industry and most other non-resource industries. The result is distortions and inefficiencies, resulting in subpar investment activity, which can only stand in the way of Saskatchewan reaching its full economic potential.That needs to change. The Saskatchewan government can implement a simpler and properly structured rent-based tax and a revenue-based royalty as minimum payment (where the royalty can be credited against the rent tax), each with a single rate and an identical tax base for all tax and royalty payers. Such a properly structured royalty and tax system can deliver improved productivity, without reducing investment incentives, resulting in a better partnership for both Saskatchewan’s industry and government in the long run.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.011 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".