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Record W2567374888 · doi:10.14288/1.0300037

An exploration of the opportunites to improve the ecological function of the shoreline at Northeast False Creek

2016· article· en· W2567374888 on OpenAlexaboutno aff
Grant Andrew Diamond

Bibliographic record

VenuecIRcle (University of British Columbia) · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Resources Studies
Canadian institutionsnot available
Fundersnot available
KeywordsShoreFunction (biology)GeographyEnvironmental resource managementFunctional ecologyEcologyEnvironmental scienceGeologyEcosystemOceanographyBiology

Abstract

fetched live from OpenAlex

This report explores the opportunities to improve the ecological function of the shoreline at Northeast False Creek (NEFC) with an emphasis on habitat restoration and human activity by reviewing local and global precedents to inform the Park Board of design options. Vancouver’s policy framework provides a strong justification to improve the ecological function of the shoreline at NEFC. More importantly, the necessity to mitigate climate change obligates policy makers to work in the interest of the planet and future generations by seeking innovative and challenging solutions. This report provides a review of urban shoreline restoration projects in Vancouver, Seattle, Staten Island, and Amsterdam and explores how these cities employed creativity and innovation to improve habitat, reintroduce species, reduce contamination, and partake in placemaking for people. Meetings and email correspondence with experts provided valuable insights into the design process and implementation of these projects. The decision to remove the Georgia and Dunsmuir Viaducts has presented the City of Vancouver with an unprecedented opportunity to create a natural haven for wildlife in the heart of downtown, restore species that were lost during our industrial past, and create a world-class space for people. Policy makers are obliged to future generations to make our city more livable for all living beings and the City must invest in this new green space for its people and the planet. • Construct one or more habitat compensation islands and/or an inlet to increase the area of intertidal and terrestrial habitat • Target the keystone species Pacific Herring (Clupea pallasii) for reintroduction through an education and volunteer habitat restoration program • Construct an environmentally-focused fieldhouse on site or at nearby Science World to contribute classroom and wetlab space for environmental education, interpretation, storage space for water-based recreation activities, and sustainable wastewater capture and conversion • Encourage human interactions with nature through design; use light penetrating surfaces when the Seawall passes over aquatic habitat and boardwalks in intertidal habitat • Extend upland habitat to the Skytrain guideway and new Pacific Boulevard to maximize the area of productive habitat and encourage commuters’ interactions with nature • Ensure flexibility is incorporated into the design and implementation process to foster creativity and anticipate new knowledge • Work with Concord Pacific to build a model sustainable community of the highest green standards adjacent to the park and encourage connections between park and neighbourhood systems This project provides a theoretical orientation, situates the project within City of Vancouver Policy, outlines precedents from Vancouver, Seattle, Staten Island, and Amsterdam, and describes the above recommendations in detail.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.820
Threshold uncertainty score0.359

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.035
GPT teacher head0.186
Teacher spread0.151 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2016
Admission routes1
Has abstractyes

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