Developing a Plan to Control Combined Sewer Floatables in Ottawa, ON
Bibliographic record
Abstract
Floatable pollution is an aesthetic nuisance often associated with runoff from urban areas and other sources.In 2008, the City of Ottawa, Ontario initiated a study of floatable pollution in an effort to develop a pollution prevention and control plan to control combined sewer floatables in compliance with applicable Ontario Ministry of the Environment (MOE) regulations.The floatables study, performed by G. A. Clark and Associates Limited and HydroQual, Inc., included field measurements and desktop analyses to define the nature of the combined sewer floatables issue in Ottawa, and to estimate floatables capture under existing conditions and with selected control alternatives.The study recommended the implementation of several actions to cost effectively improve floatables control.Study recommendations included continuing existing activities that control street litter, implementing the real time control (RTC) program already underway to control combined sewer overflow (CSO) discharges, installing gas traps on all catchbasins in the study area, and conducting floatables monitoring and analyses for a period of three years to track the annual capture of floatables. The Floatables ProblemFloatables discharged into receiving waters create a variety of problems.Visible floating material degrades the aesthetics of waterways and their shorelines, which in turn can contribute to loss of use (e.g.beach closings) and can have an adverse economic impact on recreation and business in an area.Debris slicks represent a potential hazard to commercial and recreational boating.Cases are
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".