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Record W4387220565 · doi:10.26686/wgtn.24224068

Inside/Out - Future Denser Living

2023· dissertation· en· W4387220565 on OpenAlexaboutno aff
Rebecca Scott

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldDecision Sciences
Topicdemographic modeling and climate adaptation
Canadian institutionsnot available
Fundersnot available
KeywordsResidenceUrban sprawlGeographyPopulationQuarter (Canadian coin)Unit (ring theory)EngineeringDemographySociologyUrban planningCivil engineeringPsychologyArchaeology

Abstract

fetched live from OpenAlex

Since the 1950s the suburban ideal of the quarter-acre section has characterised the Kiwi lifestyle. However, as New Zealand's cities develop, this way of life is becoming increasingly inadequate. Standalone homes are creating sprawl throughout cities. In Wellington, the population is increasing, with anticipated growth of up to 80,000 people over the next 30 years. Increased density will likely affect how the city looks, feels, and operates dramatically. In the future medium-density dwellings will make up a larger proportion of new housing. The nuclear family, which was idealised in western society from the post-second world war period, has since evolved; the population is becoming dramatically more diverse with a range of different age and family profiles, creating demand for a broader range of housing options. While the family unit is still present, the population's ageing, divorce rates, blended families, childless and same-sex couples as well as group and individual family structures have significantly impacted contemporary households. These complexities produce pressures for adaptable housing on a national scale. This thesis presents an exploration for meeting national density standards requirements while occupying a smaller footprint. The objective is to design a medium-density housing (MDH) residence using design strategies that provide a mix of housing types and allow homes to adapt to residents' changing lifestyles—exploring how medium-density housing can be reinvented to appeal to the Kiwi lifestyle challenging the notions of space and form. Overall, this research suggests how to meet the need for greater density by reconsidering aspects of dwelling design and their spatial disposition

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.074
Threshold uncertainty score0.247

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0740.014

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 head0.127
GPT teacher head0.405
Teacher spread0.278 · 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 designSimulation or modeling
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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