Paleolimnological Study of Chironomidae (Diptera) Assemblage Responses to Multiple Stressors in Lake Nipigon (Northwestern Ontario)
Bibliographic record
Abstract
Lake Nipigon is a large, deep lake in northwestern Ontario that has experienced over a century of environmental disturbance linked to hydroelectric development, mining, and climate change. This thesis applied paleolimnological methods to reconstruct historical chironomid assemblages and their responses to multiple stressors in nearshore areas, as limnological data for Lake Nipigon is only sparsely available. Core surveys conducted show generalist and moderately tolerant taxa that suggest moderately warm, vegetated, and nutrient-rich conditions in the nearshore areas, with generally favourable oxygen conditions. Chironomid subfossil assemblage changes in Gull Bay were relatively muted, while recent increases in the warm-adapted taxon Stempellina in South Bay suggest a response to warming in the nearshore environment. South Bay also documented declines in cold, oxygen-sensitive Heterotrissocladius grimshawi-type. This study established the first paleolimnological baseline for Lake Nipigon, which is intended to provide a foundation for future Indigenous-led lake monitoring efforts that reflect both western scientific and Indigenous knowledge systems.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".