Using Economic Instruments for Water Demand Management: Introduction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Water is an important input for many industrial sectors including manufacturing, mining and energy generation. Industrial water use differs from other sectors in its high reliance on self-supplied water, the potential for internal water recycling and the possibility of use leading to diminished water quality. Furthermore, industrial water use has a number of interrelated components including intake, internal recirculation, treatment prior to and following use and discharge. In principle, each of these activities can be expected to depend upon the economic and regulatory environment facing the firm. This paper examines the economic characteristics of Canadian industrial water use and considers the experiences of other jurisdictions in employing economic instruments to promote industrial water conservation. The paper then assesses the potential efficacy of economic instruments as a means of promoting integrated water resources management in the Canadian industrial sector. The paper concludes by identifying the opportunities and barriers for enhanced reliance on economic instruments.
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it