Archaeology and paleogeography of a Lake‐Wetland complex: Modeling the postglacial evolution of the Kawartha Lakes, Ontario
Bibliographic record
Abstract
Abstract This study uses a combination of isostatic rebound, hydrological flow, and sedimentation models to generate predictions about the postglacial evolution (from ca. 12.0 ka cal BP to the modern‐day) of the Kawartha Lakes region of central Ontario, Canada. Changes in shoreline and wetland configuration are mapped and quantified so as to inform understanding of the environmental history of the region and illuminate the manner of its evolution. This knowledge is discussed in the context of the human history of the region, particularly the relationship between ancestral Indigenous communities and their relationship to lakes and wetlands. Areas of significant shoreline transgression are identified and thus where inundated archaeological sites are likely to exist. The scale of loss of wetland areas as a result of 19th‐century dam construction is also estimated along with the impacts of settler dams on Michi Saagigg Nishaabeg First Nations traditional harvesting practices.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".