An Introduction to the special issue on tackling challenging water resources problems in Canada: a systems approach
Bibliographic record
Abstract
The effectiveness of employing a systems thinking approach to addressing complex water resources problems in Canada is demonstrated by summarizing and comparing the valuable contributions of the authors of the papers appearing in this special issue of the Canadian Water Resources Journal. The authors originally presented their research at Water 2010, held in Quebec City from July 5th to 7th, 2010, as part of an ongoing sequence of conferences called the International Conferences on Water Resources and Environment Research (ICWRER). By tackling challenging water resources problems in an integrative and adaptive fashion from a system of systems engineering perspective that considers stakeholders’ value systems, reasonable solutions can be found that are robust, sustainable and fair. Indeed, across the papers, the authors use a rich range of systems techniques for investigating the natural, technological, and societal systems aspects of complex water resources problems in Canada. A challenge is put forward to the Canadian water resources community to design a realistic water policy for Canada that is based upon sound systems principles and is, therefore, in consonance with other connected systems domains involving energy, climate change, societal well-being, the economy, and international commitments. L’efficacité d’employer l’approche des systèmes de pensée pour addresser les problèmes de ressources d’eau complexe au Canada est démontrée en résumant et en comparant les précieuses contributions des auteurs des articles parus dans ce numéro spécial de la “Revue canadienne des ressources hydriques”. Les auteurs ont présenté leur travaux de recherche sur l’eau 2010 tenue à Québec du 5 au 7 Juillet 2010, dans le cadre d’une séquence continue de conférences appelé les conférences internationales sur les ressources en eau et environnement recherche (ICWRER). En s’attaquant aux problèmes de ressources d’eau difficiles de manière intégrative et adaptative d’un système de point de vue qui tient compte des systèmes de valeurs des parties prenantes de génie des systèmes, raisonnables peuvent trouver des solutions qui sont robuste, durable et équitable. En effet, à travers les articles, les auteurs utilisent une gamme riche de systèmes techniques pour enquêter sur les aspects des systèmes naturels, technologiques et sociétaux des problèmes de ressources complexes de l’eau au Canada. Un défi est présenté à la communauté de ressources de l’eau au Canada pour concevoir une politique réaliste de l’eau pour le Canada qui repose sur les principes des systèmes sonores et est, par conséquent, en conformité avec d’autres domaines de systèmes connectés impliquant l’énergie, changement climatique, bien-être social, l’économie et des engagements internationaux.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".