Marginalized populations and property markets: analyzing experiences in Brazil and Canada
Bibliographic record
Abstract
Este artigo examina tentativas de usar o processo de transformação do mercado por meio do qual a população marginalizada ganha acesso à terra e à habitação em três diferentes situações: favelas no Rio de Janeiro, terras indígenas no Canadá, e comunidades pobres em cidades no interior do Canadá. O estudo começa com a ligação da racionalização destas diferentes iniciativas políticas com o neoliberalismo. Então, o esboço destas políticas e as intervenções planejadas perseguem esta idéia, mostrando como as intervenções foram discutidas na literatura e nos documentos de política, relatando resultados chave ou antecipando-os. Este artigo discute isso com o propósito de proporcionar o florescimento da diversidade. Planejadores deveriam construir alternativas para a orientação do mercado contemporâneo e estar atentos para um número recente de propostas relacionadas a esta tarefa. Résumé: Cet article examine comment les tentatives pour utiliser les marchés transforment les processus par lesquels des peuples marginalisés accèdent à des terrains et au logement dans trois contextes différents: les favelas de Rio de Janeiro, les terres autochtones du Canada et les quartiers pauvres des centres-villes du Canada. En premier lieu, un lien est fait entre la justification de ces politiques et le néo-libéralisme. Ensuite, les politiques et les interventions de planification qui conforment à ces idées sont décrites pour montrer comment ces interventions sont présentées dans la littérature et dans les documents de politique, et dans les rapports de resultants-clés ou attendus. Cet article soutient que pour permettre une plus grande diversité, les planificateurs devraient trouver d’autres solutions à l’orientation contemporaine des marchés et révèle plusieurs propositions pour faciliter cette tâche.Mots-clés: centre-ville; favelas; lodgement; marché fiduciaire; terrain; peuples marginalises.Abstract: This paper examines attempts to use markets transform the processes through which marginalized populations gain access to land and housing in three different settings: favelas in Rio de Janeiro; indigenous lands in Canada; and poor neighbourhoods in Canadian inner cities. It begins by linking the rationalization of these different policy initiatives to neoliberalism. Then it outlines policy and planning interventions pursuant to these ideas, showing how the interventions have been discussed in the literature and in policy documents, and reporting key results or anticipated outcomes. The paper argues that in order to enable diversity to flourish, planners should build alternatives to the contemporary market orientation and draws attention to a number of recent proposals for this task.Keywords: land and housing policies; neoliberalism and marginalized populations; diversity; contemporary property markets.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.021 | 0.010 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".