Alternative Housing Solutions
Notice bibliographique
Résumé
For more than a decade, serious public concern has been growing over the cost of housing and the shortage of affordable options geared to low- and moderate-income households globally. Research has shown that a large and increasing share of the population cannot afford its housing costs. In Canada, the gap has increased between the number of households that need supportive housing geared to income and the number of these units the current housing system can deliver. Increasing demand for this type of housing has put incredible pressure on cities and social housing providers to try and meet demand. Cities have been depending on market-developers to provide affordable options through varied incentive programs, but uptake has been slow due to their lower profitability. Within the global context of unaffordability, we are seeing a re-emergence of alternative models of provision and ownership being piloted by cities and community groups around the world. These alternatives are largely based on principles of co-production and community ownership that recognize that housing can be both a strong driver of productive economic development as well as a means to improving social well-being and the quality of life for all. Such models include co-operatives and community land trusts. While these models are still seen as alternatives to mainstream supply, public and social housing operators have proven their viability and potential in helping fill the affordable housing gap. \n \nThrough a combination of research methods taken from the fields of design thinking, foresight, and systems thinking, this Major Research Project explores alternative housing models in Canada and abroad. A focus is made on building institutional resilience, by looking at emerging patterns of increased self-reliance, entrepreneurial strategies, and partnerships for the provision of new social housing. Additionally, this project considers new paradigms being explored in the housing and city-building space which acknowledge the complexity of varied perspectives in cities, as well as the climate-related emergencies and other factors that impact the housing ecosystem. Finally, this project proposes a conceptual co-production model of housing provision by leveraging public land.
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 | 0,002 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,007 | 0,006 |
| Études des sciences et des technologies | 0,006 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,008 | 0,007 |
| Intégrité de la recherche | 0,001 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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; 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 ».