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Record W594598674

Questions about ‘Smart Growth: A critical appraisal of urban growth strategies in Australasian and North American Cities

2011· article· en· W594598674 on OpenAlex
Lee Beattie, Errol Haarhoff

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueResearchSpace (University of Auckland) · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsCritical appraisalGeographySmart growthRegional scienceEnvironmental planningUrban planningEconomic growthEngineeringEconomicsCivil engineeringMedicine
DOInot available

Abstract

fetched live from OpenAlex

Smart Growth strategies are entrenched as planning instruments for sustainable urban growth in North American and Australasian cities. This involves preventing sprawl by establishing an urban limit, and encouraging higher density development at walking distances from public transport nodes and corridors. Questions are raised about the extent to which current practices are achieving the sustainable goals anticipated. Drawing on a larger research study undertaking a critical appraisal of smart growth strategies in seven Australasian and North America cities, this paper provides interim outcomes from Vancouver, Seattle and Portland. Key observations from the cities concerned are summarised under three overriding smart growth goals: establishing and maintaining urban growth boundaries and protecting of natural resources; delivering compact living environments and access to a variety of transport options; and creating viable communities who value urban lifestyles. Despite the criticism of smart growth, there is sufficient evidence to show that some positive outcomes are being achieved, and should contribute towards more sustainable urban form in the 21st century. Whether it is smart enough is another matter, and the development of practices and research will continue to play an important role. More fully recognising the significance of changing demographic profiles over the next decade and the different attitudes to urban lifestyles among the younger generations, should play a bigger part in future urban visions. Moreover, integrating and interrogating existing suburban development within urban growth strategies is argued to be an urgent, and potentially useful, new strategy. Also important is the development of evaluative tools to monitor progress in meeting smart growth objectives. What is certain is that simply allowing 20th century suburban sprawl to continue is not an option, and this is a message that all those involved in the political processes should understand.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.984

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.027
GPT teacher head0.251
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