MétaCan
Menu
Back to cohort
Record W4200148189 · doi:10.26686/wgtn.17131907

The Urban Backyard: Resilient spaces for urban dwellers.

2018· dissertation· en· W4200148189 on OpenAlexaboutno aff
Thomas Hemi

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)GeographySpace (punctuation)Settlement (finance)AcreHuman settlementSocioeconomicsPaymentSociologyBusinessArchaeologyAgroforestry

Abstract

fetched live from OpenAlex

<p>The unsustainable nature of New Zealand’s ongoing suburban expansion is reflected by our self-entitled obsession with owning space or land. In a survey commissioned by Mitre 10 (Mitre 10, 2014), 1500 New Zealanders were asked for their opinions of the size of backyards and how they use them. “Most survey respondents, 84 per cent, agreed they liked the idea of the traditional Kiwi quarter-acre paradise - a large plot of land with a standalone house on it, and almost all said they would rather live on the traditional quarter-acre section than in high-density housing.” (Small, 2014) The backyard is a classic space that New Zealanders feel entitled to possess ownership, but if all we require is “enough room for a barbecue” and want “a bit of grass out the back” then we are consuming more space than we need. (Small, 2014) Here, begins an argument for a change in planning.Living in closer and more compact cities has been the catalyst to a more life-filled and active space in American and European cities. But close and compact are not typical to the vernacular in New Zealand. A hybrid form of city living could be found by experimenting with the typical New Zealand suburban lifestyle in urban spaces. By doing so more New Zealanders may decide to live in these new urban spaces. This research explores how a dense urban settlement can integrate the suburban model of a backyard to help facilitate better living spaces in Wellington. Smoothing the barrier between public and privatised space will help these spaces become more appropriated for encouraging human interaction and eventually promoting a sense of ownership and community over the shared backyard space.</p>

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.698
Threshold uncertainty score0.701

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.235
Teacher spread0.224 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2018
Admission routes1
Has abstractyes

Explore more

Same topicRural development and sustainabilityFrench-language works237,207