A 6000-year record of interaction between Hamilton Harbour and Lake Ontario: quantitative assessment of recent hydrologic disturbance using 13C in lake sediment cellulose
Bibliographic record
Abstract
Abstract Hamilton Harbour, a heavily urbanized and polluted embayment, has been selected for environmental remedy by an International Joint Commission. Ecosystem restoration efforts, however, require an understanding of harbour water balance and in particular the influence of recently enhanced exchange with the more dilute waters of Lake Ontario via the Burlington Canal. Here we provide a 6000-year quantitative reconstruction of hydrologic communication between Hamilton Harbour and Lake Ontario, based on the carbon isotope composition in the cellulose of the lake sediment, as a tracer of dissolved inorganic carbon. Results indicate that excavation of the canal has led to mixing levels 30–100% greater than the natural hydrologic state, conditions comparable to the Nipissing Flood when Upper Great Lakes drainage was diverted through Lakes Erie and Ontario roughly 5000 years ago. The effects of elevated exchange are clearly displayed by abrupt attenuation of anthropogenically driven eutrophication in the uppermost sediments from Hamilton Harbour. Thus, restoring the harbour water balance to predisturbance status would generate unfavourable environmental conditions in the harbour unless the effluent discharge to the harbour is eliminated entirely.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.004 | 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".