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Enregistrement W7081076084 · doi:10.4224/40003697

Exploration initiale des renseignements sur les incendies dans les collectivités autochtones contenus dans la BDNI (2005-2021) en fonction des données de géolocalisation : résumé des renseignements sur les incendies de structures résidentielles

2025· report· en· W7081076084 sur OpenAlexaffvenueabout

Notice bibliographique

RevueNPARC · 2025
Typereport
Langueen
DomaineComputer Science
ThématiqueGeochemistry and Geologic Mapping
Établissements canadiensNational Research Council Canada
Organismes subventionnairesnon disponible
Mots-clésGeolocationIndigenousInformation systemExploratory analysisInformation source (mathematics)Exploratory research

Résumé

récupéré en direct d'OpenAlex

This exploratory effort was undertaken in response to the current Canadian situation of a scarcity of fire incident information for Indigenous communities and with the hope of identifying an additional data source that might enrich the information collected via the recently launched voluntary National Incident Reporting System (NIRS) [NIFSC, 2024]. Key results from the exploratory analysis include the ability to identify available fire information in the NFID for incidents that were located within Indigenous communities. Furthermore, where comparison with previously published studies was possible, similar trends were observed during the exploratory analysis of the current study for all residential fires . Therefore, the NFID could be used to provide an additional data source to combine with NIRS information so that the enriched data could be available for Indigenous communities to help inform fire risk reduction plans tailored to and by each community. For this report the definition of “Indigenous community locations” is related to the geolocation information that was reported in the NFID and how the incident information was collected. The reported geolocation information was used to identify a subset of the NFID for incidents likely occurring within an Indigenous community. When considering the results in all cases, care is cautioned in the use of the results and observations due to the following factors: • Relatively small data sizes; • Potential for under-reporting of Indigenous community incidents since mutual aid was a key contributing factor for reporting, including: o Mutual aid would be limited to locations, where an adjacent community:  has an Municipal Services Agreement, or equivalent agreement, in place with the Indigenous community, and  reports into the federal, provincial or territorial system participating in the NFID survey cycles; o Information included in the NFID was reported by staff of the attending fire department providing mutual aid, who were not necessarily members of the adjacent Indigenous community; and o Reporting of incident information by an Indigenous community fire department is not expected to be included in the federal or provincial collection systems. • Heavy reliance on the consistency and accuracy of reported geolocation information in combination with lists of Indigenous community names and Census Subdivision information; • Under-reported detail of individual incidents indicated by the level of unknown information; and • The information that is available cannot be meaningfully understood without considering the historical context and present day-realities of Indigenous communities. This is not to detract from the general observations from this data source, but to be considered when applying the results to specific situations or considerations. In such cases, a detailed review and analysis of the available data would be recommended to explore the available information in context for the community. For this study, residential fire incident information was identified with Indigenous community locations, based on available geolocation information, for 4,089 fire incidents; 191 fire-related civilian deaths; and 179 fire-related civilian injuries. Key observations included that results for some select variables (i.e., area of fire origin, object involved in ignition, performance of smoke alarm devices, and act or omission) might indicate similar ranked most common categories or even similar percentages when comparing the datasets for Indigenous and non-Indigenous community locations. Those observations were not applicable to all variables. Furthermore, the comparison of rates of civilian fire-related deaths to 1,000 fire incidents consistently demonstrates higher rates for Indigenous community locations compared to non-Indigenous. A few noted observations of the rates of the number of fire-related civilian deaths to 1,000 fire incidents include: • Performance of smoke alarm devices , were approximately: o 5 times higher for no smoke alarm or alarm did not activate for Indigenous community locations compared to non-Indigenous community information. • Objects involved in ignition , were approximately: o 3 times higher for smoker’s equipment and open flames for Indigenous community locations compared to non-Indigenous community information; o 9 times higher for cooking equipment for Indigenous community locations compared to non-Indigenous community information; and o 10 times higher for heating equipment for Indigenous community locations compared to non-Indigenous community information. • Act or omission , were approximately: o 12 times higher for reported human failing (e.g., including instances where a person may be asleep or fatigued; have a temporary loss of judgement; being impaired; have an accident; or be distracted or preoccupied) for Indigenous community locations compared to non-Indigenous information; and o 5 times higher for reported misuse of ignited materials for Indigenous community locations compared to non-Indigenous information. An example of noted exceptions to the general trends of similar most commonly reported for the act or omission for the category of incendiary fires with: • The 1st most commonly reported fire incident (~35%) for Indigenous community locations, compared to the 4th to 6th most common (with three categories with about the same percentage of ~12%) for non-Indigenous information; and • The rate of the number of fire-related civilian deaths to 1,000 fire incidents was 1.4 times higher for Indigenous community locations compared to non-Indigenous information. Key recommendations based on observations in this study include: • Where available, Indigenous community-related data is recommended to be used to inform the fire risk for that community; • Where the amount or quality of the available data is limited for an Indigenous community location, the use of fire information trends observed for non-Indigenous community locations are not recommended, and, if used, should be used with caution; and • The importance of data collection to support evidence-based discussions and decisions continues to be reinforced.

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)0,006
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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,320
Score d'incertitude au seuil0,643

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,012
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0040,007
Études des sciences et des technologies0,0010,001
Communication savante0,0020,001
Science ouverte0,0010,002
Intégrité de la recherche0,0000,001
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 Opus0,099
Tête enseignante GPT0,282
Écart entre enseignants0,183 · 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'étudeObservationnel
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
Publié2025
Routes d'admission3
Résumé présentoui

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