Environmental monitoring to guide and assess the effectiveness of Randle Reef sediment remediation on the recovery of Hamilton Harbour
Bibliographic record
Abstract
Randle Reef is a 60 hectare portion of the Hamilton Harbour bed, heavily contaminated with polycyclic aromatic hydrocarbons and heavy metals. Remediation of contaminated sediment at Randle Reef is currently underway and is expected to be completed by 2022. In order to measure the effectiveness of the remedial effort on the surrounding ecosystem as well as enable the project's success to be critically evaluated, short and long term site-specific monitoring studies are required. As such, research scientists and sediment remediation specialists have collaborated to develop a site-specific, comprehensive series of environmental monitoring plans. The monitoring plans use several metrics to determine the state of the ecosystem prior to, during and post remediation. Monitoring studies have been designed to measure physical, biological and chemical trends over time. These studies will be used to determine the overall effectiveness of the remediation project and ultimately lead to the eventual delisting of Hamilton Harbour from the list of Great Lakes Areas of Concern. This article is a synopsis of the environmental monitoring studies that have been designed to guide and assess the effectiveness of the Randle Reef Sediment Remediation Project.
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 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 | 0.004 | 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".