A study of homelessness and migration in northern rural and urban centres in the Near North, Ontario, Canada, using GIS techniques
Notice bibliographique
Résumé
Homelessness, migration and poverty in Northern Ontario, Canada are serious issues. In order to facilitate development of policy that effectively addresses these problems, a long-term Community-University Research Alliance at Laurentian University, Sudbury, Canada was initiated. The present research was conducted on the data gathered through this initiative with a goal of understanding pathways to homelessness in Northern Ontario. Data gathered in five communities (Sudbury, Timmins, Hearst, Cochrane, Moosonee) between the years 2001 and 2012 were analyzed. It was found that these communities, though located in the same province of Ontario, suffered from pathways to homelessness that were different from one another. These differences result from many factors including concentration of different ethnicities in different localities as well as non-uniform availability of education, employment and health facilities. For example, high rate of unemployment in Moosonee results in migration to larger cities such as Timmins and Sudbury, which sometimes leads to homelessness as these cities themselves do not have proper support structures and resources available to help these migrants. An interesting phenomenon observed during the analysis was that there is a trend of individuals migrating out in search of employment, becoming unsuccessful in securing employment, returning their home town and then becoming homeless. This was seen across the board in all five communities, which points to the scarcity of proper support structure and resources. An index of homelessness was also constructed during this study based on the variables that were seen to have the highest impact on homelessness. For this Fuzzy Cognitive Mapping approach was adopted. It resulted in separate equations for homelessness in the five communities studied and indicated the spatial dependence of pathways to homelessness. The main result that has come out of this study is that different communities in Northern Ontario, even though they are not very far apart from one another, have their unique challenges when it comes to homelessness, migration and poverty and therefore a uniform policy across the whole of Northern Ontario will not be an effective way to address these problems. The framework developed in this study to determine if a particular individual is at-risk of becoming homeless can be beneficial in formulating effective policy and strategy.
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 ».