Charting a Pathway for Water Security and Resilience
Notice bibliographique
Résumé
The world is facing an escalating water crisis of quantity, quality, distribution, and allocation. Essential for life and a fundamental engine for economic growth, water is foundational to sustaining the world as we know it. Increasing frequency, magnitude, and extent of water-related natural and human-induced disasters including floods, loss of large freshwater lakes, and oil spills are not only threatening human wellbeing and economic growth, but social development and political stability even in high income countries. Patchwork remediation has failed; business as usual is no longer possible. Successfully addressing sustainable development challenges requires not only resources, but also massive behaviour changes that must occur at the level of governments, economies, and individuals. These changes require resilience on the part of all. We posit that resilience requires good growth, supportive governance, and community stewardship in order to be sustainable. This can be achieved and maintained through innovative engagement of the private sector in community investment strategies. The key lies in innovating technological and social change while aligning stewardship with the marketplace in order to foster awareness and behavioral change. Our solution plots a path towards sustainable water security and resilience through the Realising Action for Community Transformations (ReACT) implementation framework that is predicated on assessment, iterative learning, evidence-informed decision making, and an innovative approach to behaviour change - the PathSight Model. This private sector marketing model uses complex, big data sets combined with social sciences and technology to influence behaviour and impact outcomes. Integrating this model into the framework creates an innovative approach to sustainable water development and management through the use of science to inform and framing of causes that inspire, in order to engage the populace in necessary and sufficient behavioral transformations. Framework application is ongoing in the Lake Winnipeg Basin, Manitoba, Canada, where negative impacts on water resources appear to be occurring at ever increasing rates. Specific water-related threats to environmental, agricultural, political, and economic resilience in the province include floods and large scale eutrophication. Lake Winnipeg is threatened with ecosystem collapse and consecutive billion-dollar, one in 100 year floods have emptied provincial coffers and resulted in unpopular policy decisions that led to resignation of high level politicians and defeat of the longstanding government. Using an integrated PathSight framework the Lake Winnipeg problem is being reframed and re-distributed across a broader group of actors who may not have previously identified with either the problem or the solution(s). In this manner, politicians, private sector, and citizens are starting to articulate what they can do individually and together. In creating and mobilising a trans-sectoral, multi-stakeholder, multi-dimensional entity to bear on solving the Lake Winnipeg challenge, opportunities for shared governance, policy alignment, and grassroots action are emerging.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».