PAH-Contaminated Sediment Remediation: An Overview of a Proposed Large Scale Clean-up in a Freshwater Harbour
Bibliographic record
Abstract
Randle Reef is an area of severely contaminated sediment located in Hamilton Harbour at the western end of Lake Ontario in Canada. The Randle Reef Sediment Remediation Project work area consists of approximately 60 ha of the harbour bottom that are severely contaminated with polycyclic aromatic hydrocarbons (PAHs) and heavy metals. Total PAH concentrations at the Randle Reef site are as high as 73 755 mg/kg, with an average site concentration of 5000 mg/kg. The Randle Reef Sediment Remediation Project involves the construction of an engineered containment facility (ECF) on top of a portion of the most contaminated sediment. The remaining contaminated sediment will be hydraulically dredged, placed within the ECF, and sealed beneath a cap. Residual contaminated sediment and undredged areas of lesser contamination will be covered over by a thin layer cap. Following completion of the project, the Hamilton Port Authority will assume ownership of the containment facility and monitor, maintain, and develop the site as port facilities. This is a critical project that will lead to the restoration and eventual delisting of Hamilton Harbour as an area of concern in the Great Lakes.
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".