A Spatial and Temporal Analysis of Algae in the Rideau Canal, Ontario, Canada
Bibliographic record
Abstract
Human activity causes various negative impacts on freshwater ecosystems. The Rideau Canal, and its watersheds, in Ontario, Canada is a freshwater ecosystem altered by humans which faces pressure from nutrient loading, land-use change, and invasive species. This thesis examined spatial and temporal drivers of algal abundance, biomass, and community composition in the Rideau Canal. First, the chemical and biological changes that have occurred since 1995 were quantified by comparing water samples and periphyton biomass collected in 1995 and 2019. This study found that periphyton biomass, despite experiencing changes in its environment, demonstrated little temporal variation. Second, environmental, spatial, and temporal drivers of phytoplankton abundance, biomass, and community composition in the Rideau Canal in 2019 were quantified using a FlowCam to enumerate and identify the phytoplankton. This study showed that phytoplankton community composition in the waterway is largely driven by environmental factors, with spatial and temporal controls having lesser effects.
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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 | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".