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Enregistrement W4379621080 · doi:10.1353/iur.2022.0003

Canada's professional fire fighters are on the front lines of the battle against climate change

2022· article· en· W4379621080 sur OpenAlexaboutno aff
Sean McManus

Notice bibliographique

RevueInternational Union Rights · 2022
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueFire effects on ecosystems
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBattleFront (military)Climate changeFlood mythGeographyExtreme weatherNatural disasterPolitical scienceHistoryMeteorologyArchaeologyEcology

Résumé

récupéré en direct d'OpenAlex

Canada's professional fire fighters are on the front lines of the battle against climate change Sean McManus (bio) Climate change is real and Canada's professional fire fighters are on the front lines protecting Canadians from its threats every day. From raging wildfires to devastating floods and severe weather events, climate-driven emergencies are increasing across Canada, putting Canadians' lives and property at increased risk and adding pressure to already-strained fire departments and their personnel. Canada is a country of vibrant, fast-growing cities surrounded by some of the most beautiful natural landscapes in the world. In most areas, this means forests that pose the threat of wildfire and lakes and rivers that have the potential to flood; two seemingly opposite dangers that imperil millions of Canadians who live in areas prone to these threats. While cold, snowy winter weather grips the majority of Canada for five months of the year or more, our summers are increasingly hot and dry, with sweltering temperatures and extreme weather events becoming more common, and more severe. Whether it's a wildfire, a flood or any other emergency, unionised professional fire fighters represented by the IAFF are first on scene in 192 cities and towns across Canada. Our 26,000 Canadian members are a highly-skilled and dedicated group of men and women who are their cities' first line of defence against virtually any emergency. As the saying goes, fire fighters are 'who you call when you don't know who to call'. But how prepared are Canada's cities and their fire departments for the growing threats posed by climate-driven disasters, at a time when too many cities fail to meet the NFPA 1710 Standard for safe deployment and too many municipal fire department budgets are already failing to increase in step with population growth and booming construction? If cities are falling behind when it comes to basic fire protection, how prepared are they for large-scale disasters? An IAFF survey of local fire fighter union leaders from 117 urban Canadian fire departments in 2020 revealed a troubling gap in the nation's preparedness against wildfires, focusing on what are called Wildland-Urban Interface (WUI) areas. Our survey found: ■ Almost three quarters of the respondents indicated their fire department's coverage area includes zones in which they would be required to protect structures in the event of a wildland fire. ■ The same number, almost three quarters, indicated their city is growing into, or has the potential to grow into, WUI areas. ■ Almost 63 percent described the quality and amount of WUI-specific response training they have as either poor or none. Only a handful described their training as either good or excellent. ■ Only a quarter of respondents indicated they had received WUI-specific response training in the past two years, and 40 percent have received training within the last five years. Many indicated their last training was more than five years ago, while 32 percent said they have never had any WUI-specific response training at all. Wildfire and the danger it poses to Canadian cities whose suburbs are sprawling into more and more remote areas is a prime example of a growing threat due to climate change, but it's not the only one that needs attention, and resources. Does the answer to better protecting Canadians from climate change disasters lie in advocacy at the municipal level, or should other levels of government-provincial or federal–take lead roles in protecting Canadians from the effects of climate change? These are important questions that need timely answers. The best scenario would be for all levels of government to recognise the need to allocate proper attention– and capital–to mitigating the growing number and severity of climate change disasters in Canada, including a recognition that fire fighters are first responders to climate change disasters and their unions are key stakeholders not just when to comes to fire fighter safety but also public safety, the two going hand in hand. The needs are varied and they include training, resources and increased frontline personnel levels to safely and effectively protect Canadians–and Canada's critical infrastructure-in the climate change era. West Coast...

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)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,146
Score d'incertitude au seuil0,487

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0140,002
Communication savante0,0050,001
Science ouverte0,0010,002
Intégrité de la recherche0,0020,002
Charge utile insuffisante (le modèle a refusé de juger)0,1460,026

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 Opus0,009
Tête enseignante GPT0,205
Écart entre enseignants0,197 · 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'étudeSans objet
Domainenon disponible
GenreAutre

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
Publié2022
Routes d'admission1
Résumé présentoui

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