Bibliographic record
Abstract
An exposé of the reality of Saskatchewan’s potash industry management—prioritizing private profit over public interest A single province in Canada—Saskatchewan—is blessed with a remarkable birthright: 50% of the world’s potash reserves. Potassium is a necessary ingredient of the fertilizer required to feed a growing world population. Accordingly, prices and corporate profits have soared to unprecedented levels in recent decades. While other countries such as Saudi Arabia and Norway have taken steps to capture the value of their natural resources for their people, Saskatchewan has failed to leverage the value of its potash and has given much of it up for an inadequate price. Billions of dollars of forgone revenue has resulted in tax unfairness, program underfunding and malfunction, and a growing and worrying divide between the affluent and the very poor. Analysts from across the political spectrum have identified this revenue problem, as well as a straightforward solution. Unfortunately, the Saskatchewan government has declined to review the situation and instead seems to rely upon the advice of the industry itself. The province now faces the game-changing issue of how to tax appropriately the small number of multinational conglomerates that now own these potash mines. Whether or not the province obtains reasonable value for its potash will determine whether Saskatchewan will be a place of opportunity for all of its citizens or continue on a path of wealth for a few and extreme poverty for many.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.376 | 0.154 |
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".