LID Education and Installation in Mixed Income and Ethnically Diverse Areas of Milwaukee, Wisconsin
Bibliographic record
Abstract
From 2005 to the present, American Rivers and the Milwaukee Riverkeeper have been involved in the installation of a variety of LID practices in the Johnson's Park neighborhood of Milwaukee. During that time, the two organizations worked to educate homeowners and cultivate interest in a grant program to design and install rain gardens, rain barrels, and downspout disconnects to volunteers within the neighborhood. The goal was to reduce stormwater pollution in an urban area and to explore the basic social and economic factors that might affect the installation. Rain barrels were installed at four houses and bioretention cells were installed at seven houses. While the installations themselves were successful at mitigating stormwater challenges arose with homeowner/non-profit communications and expectations. Some participants were unhappy with the natural landscaping of the rain gardens and replaced native plants with turf grass. The modified soil that was applied during the garden construction phase is the primary medium in infiltrating water, and the cells have turned out to be very effective even with turf grass. We concluded that homeowners should be given a choice of designs and rooted plants should be used as opposed to plant seeding. Minimizing the different varieties of plants would also be helpful in more clear identification of weeds during maintenance. Additionally, turf grass should be considered an option as an infiltration cover medium for residential projects.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".