Notice bibliographique
Résumé
At the international level, evidence supports the position that regardless of whether a country is industrialized or less developed, vulnerable populations living in poor social conditions are at disproportionate risk of injury. The Aboriginal population of Canada is one such vulnerable population. In addition to poor social conditions and marginalization related to historical injustices, this population is faced with the challenge of working with little or no descriptive injury data relevant to the community level. It has been and continues to be a significant barrier to the adoption and implementation of injury prevention strategies and programs. Recognizing that surveillance is an intrinsic component of public health practice, this study was undertaken to address a critical data gap facing Aboriginal communities. The objective of the study was to develop the conceptual design of an injury surveillance framework that would be culturally relevant, that is 'acceptable and owned by the target population', and would meet the specific requirements for injury data and data collection methods for the study population. The methodology was undertaken with focus groups at national and community levels, and relied on the use of strategic activities such as benchmarking, guided discussions, nominal group technique exercises and critical document reviews. The process of benchmarking served to identify that injury surveillance systems described in the literature, linking data to action, are not a predominant reality. The locus of control is often removed from the population of interest and resides primarily with experts under the jurisdiction and control of designated authorities. In order for the surveillance system to have cultural relevance, the focus group identified that the locus of control must be defined by the population of interest at the community level, and that the system must be germane and flexible to consider the local environment. The Aboriginal framework proposed places the locus of control with the community, in partnership with its data sources. Surveillance activities remain largely distinct from communities of interest, leading us to consider whether structural changes can serve to promote a link between data and action. Traditional or standard surveillance systems, by virtue of their structure, promote a disassociation between information and community action. Data management under the complete jurisdiction of sources external to a community appears to obstruct potential linkages between information and action.
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 | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 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) | 0,001 | 0,000 |
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.
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 tête enseignante, 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 ».