Environmental Disaster Management in the Great Lakes: To What Extent are Governments in the Region Prepared?
Notice bibliographique
Résumé
Introduction -- Natural and man-made disasters are threatening countries and causing fatal damages to the economy, the environment and the livelihood and well-being of people across the globe (Zhang and Huang, 2018). Scholars in many disciplines and practitioners in several fields have realized the significance of natural and environmental disasters for decades. The study of environmental disasters is interdisciplinary and requires a broad range of knowledge and research to understand the natural and human dimensions of disasters. Some environmental disasters are known to be directly caused by human actions and behavior, while others are beyond human control and understanding. Reducing associated risks with existing and potential hazards that threaten people and societies is the ultimate goal of disaster management (O'Brien et al., 2006) at local, regional and international scales. Disaster management is based on the belief that human intervention and action can help humans mitigate and adapt to disasters. There is an extensive scholarly and practitioner literature related to disaster management, as virtually all jurisdictions have to grapple with environmental disasters. Yet, capacity for human intervention, ‘management’ and action remain limited in the context of uncertainty related to many types of natural disasters. In addition, there are a wide range of government, non-government and private sector actors involved in environmental disaster management. This thesis focuses on government-led regimes related to environmental disaster management in the Great Lakes region. The introduction covers the significance of disasters globally, in Canada and the United States, and in the Great Lakes region. It introduces key concepts and dimensions of environmental disasters; outlines the objectives of this research project; the central research questions; and provides an overview of the structure of the thesis. Prior to a focus on environmental disasters in the Great Lakes, the researcher had an interest of exploring environmental disaster management in the Red Sea region in Saudi Arabia. The goal was to investigate transboundary and national government arrangements related to environmental disasters in the Red Sea within the borders of the Kingdom of Saudi Arabia, Egypt and Sudan. A comparative research approach was considered to study both regions and compare government arrangements. However, due to the lack of publically available government documents and some government restrictions on data related to environmental disasters management in the Red Sea, a focus on environmental disaster management in that region and a comparative analysis was not feasible to conduct. Preliminary research indicated that there was not a lot of research on this topic in the Great Lakes region. Therefore, this thesis focuses on environmental disaster management in the Great Lakes region of North America providing some research foundations for possible comparative research in the future.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,003 |
| Communication savante | 0,004 | 0,004 |
| Science ouverte | 0,001 | 0,005 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 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 source (Gemma direct ou Codex distillé), 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 ».