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Record W7138826868

A HOME THAT GROWS WITH YOU: Enabling owner-agency through incremental housing in Pakūranga

2025· dissertation· W7138826868 on OpenAlexaboutno aff
Michaela Buckle

Bibliographic record

VenueResearchSpace (University of Auckland) · 2025
Typedissertation
Language
FieldSocial Sciences
TopicUrban Planning and Governance
Canadian institutionsnot available
Fundersnot available
KeywordsPrideContext (archaeology)Flexibility (engineering)Process (computing)Urban regenerationModular designQuarter (Canadian coin)Redevelopment
DOInot available

Abstract

fetched live from OpenAlex

What if urban regeneration began with the resident, not the developer? This thesis proposes a new model for suburban transformation in Aotearoa, one that gives residents the tools to shape their own homes, neighbourhoods, and futures. It moves beyond fixed, developer driven housing toward an approach grounded in incremental growth, long term adaptability, and collective agency. Set within the context of Pakūranga Town Centre, the project responds to the social fragmentation and commercial decline brought about by large scale infrastructure upgrades. Through the integration of incremental, modular housing typologies and a responsive master plan, it offers a framework that enables community led regeneration over time. While not a return to the past, the project draws from the values often associated with the Kiwi quarter acre dream, autonomy, pride in place, and the ability to shape one’s environment. These ideals are reinterpreted within a denser urban context, where flexibility and participation replace uniformity and control. In doing so, the thesis positions housing as an open ended process that grows with its people.

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), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
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
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.043
GPT teacher head0.298
Teacher spread0.255 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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