Evaluation of sustainability indicators for integrated river basin management of Fraser River Basin in Canada
Bibliographic record
Abstract
This paper presents a general summary of the concept of sustainability of a basin and introduces guiding principles,directions for the selection of sustainability indicators,and selection criteria and procedures for the Fraser River Basin in Canada.The advantages and disadvantages of the sustainability indicator system are evaluated.Based on analysis and evaluation,the authors attempt to make suggestions for the modeling of a framework of sustainability indicators of river basins in China from the following six aspects:(1) indicators that can reflect and are relevant to the current law,policy,and management issues;(2) indicators that reflect the interest of different stakeholders and guarantee their actual involvement in basin management;(3) a scientific and rational development framework;(4) indicators developed with a holistic view from the perspective of basin ecosystems,representing the ideas of integrated river basin management;(5) promotion of interdisciplinary research on river basin management combined with the knowledge of management science;and(6) the idea that mathematical models in management science can be used to assess the indicators and management strategies.
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How this classification was reachedexpand
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".