Reallocating Sediment for Treatment
Bibliographic record
Abstract
The purpose of this practicum is to explore the possibilities of utilizing macrophytes in a Canadian climate to extract mercurial contamination from a large-scale aquatic environment. One of the primary guiding hypotheses, informed by research, is that it is reasonable to assume the mercurial contamination of the English Wabigoon hydrological system, which originated from Wabigoon Lake in the 1960s will, or has reached the drainage basin of Lake Winnipeg. This presents concerning issues in addition to the known eutrophication of the lake. The practicum requires an understanding of the specific nature of the contaminant and the processes in which it interacts with the aquatic environment and wider landscape. At the forefront, the processes of methylation and bioaccumulation play significant roles in the effects on our natural environments and will be leading informants on the eventual design goal. Additional research was devoted to exploring treatment systems designed by landscape architects as precedents. To negate further mercurial contamination of waterways, shores, and living beings, the practicum seeks to utilize the vegetative process of biofiltration to extract contaminants from the sediment and from the watercourse originating in Ontario and draining in Manitoba. The importance of the research relates to communities’ relationships to the river and water system, some of which are more reliant on the waterway and its resources than others. Informed design requirements include species able to perform extraction of contaminants all while allowing for accessibility for harvesting the macrophytes once the extraction process has taken place. The areas explored for site selection ranges from Wabigoon Lake, Ontario boreal to the south-east Traverse Bay of Lake Winnipeg. Specific sites will be selected for their appropriateness of intervention. On such a large hydrological scale, sites of mercuric sediment concentration are of interest. Due to the processes of sedimentation, hydro-electric dams along the Winnipeg River system are of interest.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".