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Record W2316862361 · doi:10.1061/9780784412312.251

Wetland Protection in Edmonton—A Drainage Initiative

2012· article· en· W2316862361 on OpenAlexaffabout
L. E. Bodnaruk, Stephen Edwini-Bonsu, Alex Kf Kwan, L. Maslen, Josephine C. H. Tan

Bibliographic record

VenueWorld Environmental And Water Resources Congress 2012 · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsWetlandMandatePlan (archaeology)Environmental planningBusinessDrainageEasementEnvironmental resource managementGeographyEnvironmental sciencePolitical scienceEcology

Abstract

fetched live from OpenAlex

The City of Edmonton has a number of strategic initiatives with specific goals that place high priority on environmental protection. In line with these goals, Drainage Services Branch initiated a Wetland Acquisition Plan to acquire wetlands that are not protected by other means but could be protected by incorporating them into the drainage infrastructure. A review of experience elsewhere revealed no other examples of such a plan being led by a drainage utility. The strategic direction for the acquisition plan considered a number of factors including experience elsewhere, land ownership, ecological and drainage functionality, and cost. The plan also considered how outright purchase can complement other available protection tools including conservation easements, crown ownership and planning tools such as Environmental Reserve and statutory plan amendments. Through a desktop study and limited field surveys, the plan identified and prioritized 50 candidate wetland sites that could contribute to meeting the goals of the Branch, and provided a database of site characteristics that will need to be considered in acquiring and protecting these wetlands. The plan provides an example of a drainage utility initiative that complements the mandate of other municipal branches, resulting in a multidisciplinary approach to environmental protection at the corporate level.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.014
GPT teacher head0.195
Teacher spread0.180 · 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

Citations1
Published2012
Admission routes2
Has abstractyes

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