Using paleolimnological methods to track late holocene environmental change at Long Lake, New Brunswick – Nova Scotia border region, Canada
Bibliographic record
Abstract
The Missaguash Bog and Amherst Marsh are situated along the border of Nova Scotia and New Brunswick at the head of the Bay of Fundy and have a long history of anthropogenic influence. Long Lake and Round Lake are small, shallow lakes in the middle of this marsh system and are influenced by a number of human-induced changes including water control structures, dredging of channels, and increased use through recreation, construction, and forestry. The impact of this activity on Long Lake was studied using paleolimnological methods to link changes in organic content, lead, titanium, and other proxies observed in sediment cores to the known history of the lake basin, leading to a better understanding of how small, shallow lakes react to anthropogenic influence. It was discovered that Long Lake was very sensitive to changes in precipitation, temperature, and lake level. Data from core stratigraphy and historical sources indicate that drainage modification lowered the lake level in Long Lake during the mid-1800s, after which wave action heavily disturbed unconsolidated organic sediment. Deposition resumed with predominantly inorganic sediment, indicating a fundamental change in depositional dynamics. Geochemcial proxy data suggest sediment resuspension and mixing have occurred in the top few centimetres of sediment, possibly due to increased turbulence from motorboat activity. The sediment record from Round Lake provides evidence for significant atmospheric deposition from industrialization in Amherst during the late 1800s and early 1900s. Lead peaks were used to provide age control on geochemical data, and correlates well with regional atmospheric lead records.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".