Hot weather in a cold land : hot weather planning and vulnerable populations in Toronto, Canada.
Notice bibliographique
Résumé
Background Climate change has resulted in changes to weather patterns and to the intensity of extreme atmospheric phenomena. One of the most significant of these changes is manifested as increased intensity and frequency of hot weather events. To mitigate the effects of extreme heat, many cities have implemented ‘hot weather’, or ‘heat wave’ response programmes. However, the effectiveness of these, and how well they protect vulnerable populations remain underresearched issues. Objective This thesis examined whether the people of Toronto who are most vulnerable to extreme heat, have been properly identified and served by Toronto’s Hot Weather Response Programme. Design This thesis utilised qualitative techniques in the form of a thematic critique of documentary sources and semi-structured interviews. Documents pertaining to Toronto’s Hot Weather Response Programme were analysed to gain an understanding of the evolution of the programme. Interviews were also conducted with vulnerable residents to understand their perceptions and experiences with hot weather and Toronto’s programme. Findings The thematic critique determined that over the time period 1999 to 2019, there were multiple changes to the criteria used for calling alerts/warnings, repeated revisions to the definition of vulnerability, shifts in communication techniques and drastic reductions in budget and services. The interviews indicated that recipients had limited knowledge of the negative consequences of hot weather, lived in conditions that were detrimental to their health, did not have mitigation plans, and the amenities that were available to them were insufficient to be protective. Discussion The findings indicate that the vulnerable populations of Toronto have been inadequately identified by health officials and the methods used to reach them have been poorly selected. These populations demonstrated a lack of knowledge of Toronto’s hot weather programme and of protective measures necessary during oppressive heat. Toronto’s once ‘cutting edge’ hot weather response program has been greatly diminished due to a lack of proper evaluations and budgetary cuts which underestimate the value of elements of the programme. Conclusions and recommendations This thesis demonstrated the benefits of proper planning and evaluation for public health programmes. It also illustrated how political or economic pressure can alter the delivery of services and can attenuate the potency of mitigation activities, such that they can instead increase vulnerability.
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 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,002 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».