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Record W7000817047

GRTs in Quebec: a unique model for non-profit housing delivery: The documentation of Group of Technical Resources (GRT) Model in Quebec, exploring the adaption of the third sector social affordable housing delivery model in housing policy transition

2022· dissertation· en· W7000817047 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2022
Typedissertation
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsDocumentationGroup (periodic table)Public housingSocial insurance
DOInot available

Abstract

fetched live from OpenAlex

"Technical Resource Groups (Groupes de Ressources techniques, hereafter GRT) model in Quebec presents a way to help the housing crisis through the third sector. In the past decades, this unique housing intermediary-organization system has successfully provided affordable units to the public and created housing cooperatives with self-governance autonomy. With the public sector’s support, GRTs have completed considerable amounts of third sector-led social affordable housing projects. However, governmental resources are not always present because of the shifting housing policy. Now, the model is facing new challenges. GRTs emerged in the 1960s and 70s along with all other social movements. Activists of architects and urban planners came together and fought for housing rights for the local community. The civil social organizations, includes the GRTs became more important as the growth in their professionalism and recognition by the provincial government. The community-based groups were institutionalized, entering sub-contracting relationships with the provincial government (Henaway et al., 2021, p. 34), and their service was formalized into the government’s program. With the secured funding resources from the Quebec government, GRTs have involved in more than half of the community housing creation in the province through new construction of mid-rise multi-unit buildings and renovation of existing community housing. However, the successful model is now under threat due to the withdrawal of the AccèsLogis program, the main provincial housing program which delegates most resources to the third sector housing sector, by the current provincial government. Whether the GRT model can still work and deliver sufficient social affordable housing has been questioned. Currently, GRTs are exploring new paths and stable models for the development of decommodified housing which entails the organizational transformation, new financial strategies, and diversification of services. This research project conducts interviews with professionals involved in the GRT system and contextualize the transitional moment in the Canadian context. The objective is to document the model and process of housing production of the GRTs, which are not well known outside Quebec, with the hope for an alternative response to housing crisis derived from the result. This research documents the GRT model, the institutionalized resource group system in the third sector housing development in Quebec. It begins with a brief overview of the history and types of nonequity housing in Canada and how it is continued in Quebec. The finding section details the current GRT model, the challenge, and how they answer the challenge with the comparison with the non-profit developers outside Quebec based on the data collected through the eight in-depth interviews with the stakeholders in the model. The report concludes with discussions about the challenge and future of the resource group system derived from the third sector housing development model."@eng

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)0.003
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: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.855

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0050.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0120.000

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.

Opus teacher head0.041
GPT teacher head0.290
Teacher spread0.249 · 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
Published2022
Admission routes1
Has abstractno

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