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Record W3119470956 · doi:10.1108/ohi-02-2018-b0013

Adaptation of Sustainable Community to the Site's Natural Condition

2018· article· en· W3119470956 on OpenAlex
Avi Friedman

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOpen House International · 2018
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and construction materials studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsSite planningTerrainDocumentationSite selectionNatural (archaeology)Civil engineeringPlan (archaeology)Site planPillarGrading (engineering)Environmental planningEngineeringEnvironmental resource managementSite analysisArchitectural engineeringGeographyUrban planningComputer scienceCartographyEnvironmental scienceRegional planningArchaeology

Abstract

fetched live from OpenAlex

A common practice in some of North Americans' residential development is to alter the site's natural conditions prior to and during construction. Rock formations are removed or changed, new terrain grading created, and landscape features uprooted. An approach whereby the design will be made to fit the site's characteristics is often avoided. Fitting a master plan of a new community to existing geo-environmental conditions was a principal objective in the planning of a 350-dwelling development on a 41-hectare site near Quebec City, in the province of Quebec, Canada. For the densely forested site, the author developed design guidelines that considered the roads' routes, parking areas, foundation, and footprint of each building. A pillar of this approach was to model the design after the terrain's condition by adopting flexible planning strategies. The project, now in advanced stages of construction, have earned many accolades from conservationists and demonstrated that once documentation of the site's natural conditions has taken place, the fitting of design to the site becomes easier to implement. This paper outlines the design challenges, show patterns that were developed specifically for the project and elaborate on the building process and its outcome.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score0.227

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 studies0.0000.000
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 head0.016
GPT teacher head0.258
Teacher spread0.242 · 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