MétaCan
Menu
Back to cohort
Record W4396675016 · doi:10.29173/cjnser632

Social Housing with Community Support in Québec: A Sociopolitical Perspective

2024· article· en· W4396675016 on OpenAlexaffvenueabout
Christian Jetté, Jean-Vincent Bergeron-Gaudin

Bibliographic record

VenueCanadian journal of nonprofit and social economy research · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Sciences and Governance
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMultitudeSociologyPublic housingNegotiationWelfare stateContext (archaeology)Government (linguistics)Social WelfareSalience (neuroscience)Political scienceEconomic growthNorm (philosophy)Political economyPublic administrationPoliticsEconomicsSocial scienceGeography

Abstract

fetched live from OpenAlex

The 2022 adoption of a new policy framework on community support in social housing in Québec speaks to a convergence of a multitude of community, government, and municipal actors around this practice. This qualitative study delves into the process by which this approach was institutionalized to demonstrate how community support became a central norm of the social housing field in the province. Drawing from literature on the welfare mix, we situate this phenomenon in the broader context of the transformation of the welfare state, in which nonprofit organizations played an increasing role in providing social housing to vulnerable populations (e.g., people at risk of homelessness). This article demonstrates how power dynamics and negotiations between the state and the third sector were, in this case, a major source of institutional change over time.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.112
Threshold uncertainty score0.810

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0170.010
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.147
GPT teacher head0.436
Teacher spread0.289 · 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
Published2024
Admission routes3
Has abstractyes

Explore more

Same venueCanadian journal of nonprofit and social economy researchSame topicSocial Sciences and GovernanceFrench-language works237,207