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Record W7160667987 · doi:10.2218/ear.2013.9790

A Holistic Approach to Sustainability

2013· article· W7160667987 on OpenAlexaboutno aff
Kurt Culberston, Mary Martinich

Bibliographic record

VenueEAR. Edinburgh architecture research · 2013
Typearticle
Language
FieldEnvironmental Science
TopicSustainable Development and Environmental Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPlan (archaeology)SustainabilityUrban planningStormwater managementProcess (computing)Quarter (Canadian coin)Public parkPublic participation

Abstract

fetched live from OpenAlex

The Lafitte Greenway is a 3.1 mile linear park of 65 acres (26 hectares) running from New Orleans' famous French Quarter through nine of the city's most historic neighborhoods.In addition to the greenway design, the project involved the creation of a revitalization plan for the adjoining neighborhoods and an operation and management plan for the greenway.A multi-disciplinary team, led by landscape architects included architects, civil engineers, ecologists, economists, as well as, experts in park management and operations and crime prevention through environmental design.An extensive public engagement process was also utilized.The design methodology employed an evidence-driven approach considering over thirty categories of metrics embracing issues of environment, community, economics, and art.The project was benchmarked against the standards of LEED and Sustainable Sites but goes far beyond these frameworks to establish a new standard for sustainable design.Factors considered include: stormwater management, urban heat island, urban wildlife, native plant use, recycled content, public health, employment, tax generation, housing values, crime rates, and safe routes to school.The Lafitte Greenway and Revitalization Plans illustrate the benefits and challenges of a holistic approach to planning and design with lessons for future projects of all scales.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0030.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0420.007

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 head0.039
GPT teacher head0.321
Teacher spread0.281 · 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; both teacher heads agree on what is shown here.

Study designObservational
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
Published2013
Admission routes1
Has abstractyes

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