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Record W2016245592 · doi:10.3992/jgb.2.1.37

Rainwater Management to Mitigate the Effects of Development on the Urban Hydrologic Cycle

2007· article· en· W2016245592 on OpenAlex

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.

Bibliographic record

VenueJournal of Green Building · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Stormwater Management Solutions
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsBioretentionRainwater harvestingGroundwater rechargeSurface runoffEnvironmental scienceLow-impact developmentWater cycleStormwaterUrbanizationWater resourcesWater resource managementGreen infrastructureStormwater managementWater qualityEnvironmental engineeringHydrology (agriculture)GroundwaterEnvironmental planningEngineeringAquiferEcology

Abstract

fetched live from OpenAlex

Abstract Traditional stormwater management approaches that rely on rapid conveyance and end-of-pipe detention have not adequately mitigated the effects of urbanization on water resources and the aquatic and human communities that rely upon them. Low-impact development techniques that can support a shift to management of the post-development hydrologic cycle and runoff volumes offer better opportunities to prevent stream erosion and protect groundwater recharge, characteristics of the flow regime and water quality. The application and design of four techniques—porous pavement, bioretention cells, green roofs and rainwater harvesting— in the management of the post-development water balance are presented.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.355
Threshold uncertainty score0.256

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.007
GPT teacher head0.211
Teacher spread0.204 · 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