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Record W4411037949 · doi:10.3917/clara.010.0048

Building, Dwelling, Sustaining: Learning from Women’s Cooperatives

2024· article· en· W4411037949 on OpenAlexaboutno aff
Tara Bissett

Bibliographic record

VenueCLARA · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessArchitectural engineeringEngineering

Abstract

fetched live from OpenAlex

Amidst today’s housing crisis, there is much to learn from the large-scale cooperative housing experiments that occurred in Canada throughout the 1980s. In Toronto, the Beguinage and Constance Hamilton — two cooperatives for women — developed from urgent calls to reimagine single-women households. Like the Arauco, housing for Chilean refugees, these identity-led initiatives remain successful examples of non-profit housing. By analysing the participatory processes involving politicians, academics, and architects, as well as activist collectives that spurred and emerged from these projects, this paper draws upon the notion of expanded commons to illustrate the broader socio-political discourses surrounding women’s cooperative housing. Using the framework of the “carescape” proposed by Sophie Bowlby, the paper explores the socio-temporal dimensions of informal care practices and reveals the processes of maintenance that are required to support long-term and flexible care exchanges and to promote the accessibility of collectivity. Follow-ups with current cooperative members, architects, and advocates for these initiatives show that cooperative housing has built communities and provided financially viable modes of housing, although more meaningful efforts are needed to sustain continuous participation and community cohesion, over time, so that a cooperative can be a lifelong home.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.925
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.321
Teacher spread0.295 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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 routes1
Has abstractyes

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