Thinking outside the 'water box' in the Detroit River Area of Concern
Notice bibliographique
Résumé
Despite sustained attention to water issues around the world—including attention to shortcomings in water governance—many long-standing water problems persist around the world. This may be because some of the sources or causes of water problems are external to the water sector. Water governance often is based on water-centric problem framings that do not take sufficient account of the role of external actors, institutions, and drivers. Recognition of this problem is growing, but identifying external connections and then addressing the critical ones is challenging for water managers. \n \nThis thesis tests a flexible diagnostic process that can be used by researchers and practitioners to identify external connections and evaluate their importance in specific water governance settings. The case study for this research is the Detroit River Area of Concern (AOC), located in both the United States and Canada. The river is important and used extensively by both humans and wildlife; as a result of the human uses, the Detroit River was listed as an Area of Concern. The objectives of this research include (1) applying a diagnostic approach to the Detroit River AOC to determine whether or not external connections are affecting progress on the Detroit River Area of Concern, and if so, what external connections are most relevant and important to address; and (2) proposing response strategies and actions for improving governance in the Detroit River Area of Concern and beyond. This research uses a “two-case” multiple case study research design, triangulating data gathered from 28 key informant interviews, review of 58 documents, and personal observations. \n \nThe findings of this study reveal that the Detroit River AOC was carefully and purposefully designed in a water-centric manner, in order to more easily manage the complexity of cleaning legacy pollution. As a result of this water-centric framing, people working on the Detroit River AOC have completed numerous high-profile projects on the river, and the river should qualify for delisting as an Area of Concern without having to address external connections. That being said, a water-centric perspective has caused challenges in the AOC, and these challenges illustrate that efforts should be made to engage external drivers, institutions, and actors in parallel to or after AOC delisting. Key external connections include global environmental changes such as climate change and the introduction of invasive species, the health of adjacent waterways, population and land use change, and changing incentives in the form of funding, regulations, and public perception. Practitioners have several options for addressing external connections both during and after delisting; these include thinking more proactively about “life after delisting” through a comprehensive visioning exercise, connecting with existing initiatives and networks in the area with the help of “boundary spanners,” strengthening binational ties, and clarifying the role of an Area of Concern. \n \nUltimately, this thesis contributes to furthering our understanding of external connections in water governance, with special focus on the Great Lakes Area of Concern program.
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) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,003 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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 ».