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Record W7056819120

Housing beyond the market municipal tools for promoting non-profit housing in Montréal

2023· dissertation· en· W7056819120 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2023
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Work (physics)Production (economics)Order (exchange)Productivity
DOInot available

Abstract

fetched live from OpenAlex

The housing crisis in Montréal has been intensifying in recent years, with many households struggling to find affordable places to live.Non-profit housing providers play a crucial role in addressing this problem, but they are limited by a system that favors private-for-profit developments.Although the Ville de Montréal has implemented various policies and strategies to address diverse housing needs in recent decades, further action is required to support the development of non-profit housing.This Supervised Research Project argues that despite their limited financial means, Canadian municipal governments have various policy tools at their disposal to foster a more supportive development environment for non-profit builders.This study provides an overview of housing affordability in the Montréal context, situating the need for non-market housing alternatives as well as offering insight into the history of non-market housing in Québec and the changing roles of municipal government.Barriers now limiting the production of non-profit housing are reviewed and compared with insights arising from two workshops with non-profit housing actors in Montréal.The study examines various policy tools successfully used by local governments across Canada and farther afield to improve the production of nonprofit housing.By way of synthesis, a set of policy recommendations are made for the Ville de Montréal that should help to support the development of more non-profit housing across the city. RésuméLa crise du logement à Montréal s'intensifie depuis ces dernières années, avec de nombreux ménages qui ont des difficultés à trouver un logement abordable.Les promoteurs de logements à but non-lucratif jouent un rôle essentiel dans la résolution de ce problème, mais ils sont limités par un système qui favorise les développements à but lucratif.Bien que la ville de Montréal ait mis en place différentes politiques et stratégies pour répondre aux divers besoins en matière de logement, d'autres mesures sont nécessaires pour soutenir le développement du logement à but non lucratif.Malgré ses moyens financiers limités, ce projet de recherche étudie le principe selon lequel les gouvernements municipaux disposent de divers outils politiques pouvant encourager un environnement de développement plus favorable aux promoteurs de logements sans but lucratif.Pour débuter, cette étude donne un aperçu du contexte d'accessibilité au logement à Montréal, ainsi que de l'importance de trouver des solutions de logement hors marché.Elle donne ensuite un aperçu de l'historique du logement hors marché au Québec et du rôle du gouvernement municipal.En poursuivant, la troisième section de ce projet identifie les barrières qui limitent la production de logements à but non-lucratif et documente les idées issues de deux ateliers en compagnie de quelques promoteurs Montréalais.Entre autres, elle examine divers outils politiques utilisés par d'autres municipalités en Amérique du Nord et à l'étranger qui ont promu efficacement le logement à but nonlucratif.Enfin, ce projet se termine par quatre recommandations politiques pour la ville de Montréal qui ont pour but d'aider à soutenir le développement de logements à but non-lucratif.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.003
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.001

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.

Opus teacher head0.022
GPT teacher head0.273
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

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