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All Things Considered: Evaluating Emergency Preparedness for Vulnerable and Disadvantaged Populations in Canadian Cities

2017· article· en· W3173803529 sur OpenAlexaboutno aff
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Notice bibliographique

RevueeScholarship@McGill (McGill) · 2017
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDisaster Management and Resilience
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDisadvantagedPreparednessEmergency managementEconomic growthGeographyMedical emergencyPolitical scienceMedicineEconomics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the past few decades, an increase in the severity and the occurrence of natural disasters has been observed around the world. In parallel, the global population is growing, ageing, anddensifying, which will only intensify the impact of future natural disasters. When a disaster strikes, certain populations (people of low-income, people with disabilities, people with healthissues, people in the care of others, people with a low level of education, the very young, the elderly, the homeless, immigrants, and even tourists) become disproportionately affected priorto, during, and after the disaster due to their pre-existing vulnerabilities and disadvantages. While Canada experiences a range of natural disasters annually, their relatively small size andtendency to affect less populated areas have restricted their potential for devastation. However, with the recent occurrence of several large-scale disasters in similar high-income countries(Hurricane Katrina, the Christchurch earthquake series, and Hurricane Sandy) and the devastation they specifically caused among vulnerable and disadvantaged populations hasuncovered the need to properly plan for these groups in the face of disasters. This supervised research project aims to investigate how the vulnerable and disadvantagedpopulations of a large city (Vancouver, British Columbia) and a mid-sized city (Windsor, Ontario) in Canada would fare in a large-scale hypothetical disaster (respectively, a large earthquake andmajor flooding). The local, provincial, and federal emergency management plans and web resources for both cities were evaluated in their consideration of vulnerable and disadvantagedpopulations and of the hypothetical disaster. The analysis uncovered that emergency management plans and resources in Vancouver andWindsor did not properly or consistently address the needs of vulnerable and disadvantaged populations in the context of a large-scale disaster. Adequate consideration and planning forthese groups is therefore necessary not only to ensure the survival of many should a disaster strike, but also to reduce the societal disadvantage of their pre-existing vulnerabilities.The results of the analysis coupled with lessons learned and best practices with respect to vulnerable and disadvantaged populations in recent large-scale disasters were amalgamated todevelop the following recommendations for Vancouver, Windsor, and Canada as a whole: • Emergency preparedness, planning and response must be two-tiered: (1) for thegeneral population and (2) for vulnerable and disadvantaged populations in order to ensure adequate consideration of these groups;• All levels of government and bodies (NGOs, transit agencies) involved in the preparedness, response, and recovery process must have public, clearly laid-out, andcoordinated emergency management plans and resources specifically for their concerned areas and vulnerable and disadvantaged populations;• Develop communication channels specifically for vulnerable and disadvantaged populations in disasters;• Prioritize outreach and social network-building for vulnerable and disadvantaged populations in preparation for a disaster;• Access to services, mobility, and outreach for vulnerable and disadvantaged populations must be prioritized in the immediate aftermath and short-term followinga disaster;• In emergency preparedness, response, and recovery, infrastructure that is essentialto the well-being of vulnerable and disadvantaged populations, including communications, power, water, and transit, must be protected (when possible);• Use the aforementioned infrastructure to its full potential (ie. transit for the evacuation of vulnerable and disadvantaged populations) in order to improveefficiency and for these resources to be allocated repeatedly and in a variety of ways during the course of disaster response and recovery.This supervised research project does not pretend to analyze the capability of these cities to deal with vulnerable and disadvantaged populations in large-scale disasters. It rather seeks toevaluate the consideration of these groups in Canadian emergency management plans and web resources, opening the door for future and more in-depth research on the matter.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,012
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,107
Score d'incertitude au seuil0,775

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,012
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0030,006
Études des sciences et des technologies0,0100,002
Communication savante0,0040,001
Science ouverte0,0030,003
Intégrité de la recherche0,0010,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,101
Tête enseignante GPT0,379
Écart entre enseignants0,278 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentnon

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