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Record W7066220846

Housing cooperatives : the lived experience in an alternative tenure.

2013· dissertation· en· W7066220846 on OpenAlexaboutno aff

Bibliographic record

VenueAdelaide Research & Scholarship (AR&S) (University of Adelaide) · 2013
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsAffordable housingPublic housingSituatedOrder (exchange)Quality (philosophy)Low income housingPublic sector
DOInot available

Abstract

fetched live from OpenAlex

This main purpose of the thesis is to investigate the lived experiences of residents in eight housing co-operatives, four in Australia, two in the United States and two in Canada. The thesis gives the primary voice to the residents which enable them to convey their experiences as consumers of housing through their narratives. The secondary aim of the thesis is to ask how, and by what means, can housing cooperatives in Australia become more widespread and contribute to the country’s affordable housing stock? Affordable housing has been the subject of much public and policy debate in Australia. Housing cooperatives are an extremely small contributor in the low to moderate income housing sector in Australia and are usually associated with the public housing sector. Research was also undertaken in the United States and Canada because these countries have long-established housing cooperative sectors which may provide valuable lessons, transferable models and suggestions for alternative methods of funding. The thesis findings are presented through the lens of self-selection, residential satisfaction, quality of life, social capital, and physical and ontological security. Barriers to the formation of housing cooperatives in Australia are identified. The overseas research suggests the possibility of transferable financial models. Alternative forms of housing cooperatives situated outside of the public housing realm are proposed in order to grow the sector and make this type of affordable housing more widely available to Australians.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.232
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.124
GPT teacher head0.370
Teacher spread0.246 · 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 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

Citations1
Published2013
Admission routes1
Has abstractyes

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