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Record W2086793259 · doi:10.2495/uw140251

The St George Rainway: building community resilience with green infrastructure

2014· article· en· W2086793259 on OpenAlex
Joseph Welsh, Peter Mooney

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

VenueWIT transactions on the built environment · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRealmCohesion (chemistry)ArchitectureLandscape architecturePsychological resilienceCivil engineeringArchitectural engineeringSociologyEnvironmental resource managementEnvironmental planningPolitical scienceEngineeringGeographyEnvironmental sciencePsychology

Abstract

fetched live from OpenAlex

Central to global climate change and central to the profession of landscape architecture is the element: water. The St George Rainway offers a new opportunity to be a demonstration project for the City of Vancouver, Canada, where the city and its community of Mount Pleasant act as collaborators with design, construction, and maintenance of a project with water in the public realm. The voluntary engagement in the physical transformation of one's community can provide opportunity for a growth in social cohesion. Subsequently, this growth can improve the conditions that fostered the bonds and bridges within that community that inspired the initial engagement. Green infrastructure, when considered through this lens, has a reciprocal relationship with social cohesion, where the improvement of one feeds the improvement of the other. This model could therefore provide both a resilient option for physical development of land and for social development of community for neighbourhoods by encouraging more interaction among neighbours and with their local public realm.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0050.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.011
GPT teacher head0.230
Teacher spread0.219 · 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