From Black Gold to Blue Gold: Lessons from the Petroleum Trade Regime for an Emerging Water Trade and Investment Regime
Bibliographic record
Abstract
Abstract Water resources in Canada are “potential” or “quasi-staples”. That is, the exploitation of water resources has featured many of the aspects of a staples industry such as their large-scale, technologically influenced, rural-based, bulk-commodity characteristics, but lack others, especially a traditional staples export orientation. However, this situation is changing. In the electricity case, deregulation in both Canada and the US markets has resulted in the emergence of a new production regime in Canada, one that is approaching a typical “mature” staples industry, albeit with the new environmental regulations and conditions for participation of a much broader spectrum of “stakeholders” which bears some resemblance to a ‘post-staples” model. The same is true of water resources as a whole where, for almost two decades, one of the most controversial concerns raised by Canadian opponents of free trade with the United States was that it would lead to the large scale export of water from Canada. Should this come to pass, this commodity would become a “staple” and the water industry which would emerge in Canada would move from “potential” to “actual”
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.023 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.000 |
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".