Water balance of South Lake and the water quality of the Octopus-Ominnik-South Lake system, Riding Mountain National Park, A
Bibliographic record
Abstract
Parks Canada’s mandate directs the park to manage for ecological integrity, which includes restoration of anthropogenically altered landscapes back to their natural state. In this case, restoration means re-aligning Octopus Creek in Riding Mountain National Park back to its natural flow path. The original diversion was created with the intention of minimizing nutrient loading to Clear Lake and helped to maintain an ideal spawning habitat for northern pike in South Lake. Redirecting this human constructed channel back to its natural flow path could have implications for water levels and therefore, critical fish spawning habitat. A water balance which included all of the inflows and outflows of South Lake was conducted over two field seasons. Surface water, groundwater, evaporation, and precipitation were quantified. A water quality study was also conducted to monitor a point source of pollution, the Wasagaming Wastewater Lagoons, and to determine if non-point source pollution was occurring (alike many of the previous studies conducted in this study area). It was found that there is an excess amount of nitrogen and phosphorus entering the system. It was also concluded that the constructed channel is a significant source of surface water to South Lake. Therefore, redirecting the natural flow path into Clear Lake could have negative impacts on its current trophic status and could reduce available northern pike spawning habitat within South Lake. It is recommended that the hydrological system remains the way it currently flows.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".