Archaeological Landscapes during the 10–8 ka Lake Stanley Lowstand on the Alpena‐Amberley Ridge, Lake Huron
Bibliographic record
Abstract
Archaeologists have long been interested in the Lake Stanley lowstand event (∼10–8 ka) in the Lake Huron basin, as archaeological sites from the Late Paleoindian/Early Archaic cultural periods were inundated by subsequent high water levels. Recent archaeological and paleoenvironmental investigations of this submerged landscape have documented stone structures that were likely utilized for caribou hunting by these cultural groups during the late Lake Stanley lowstand phase of Lake Huron. In 2011 and 2012, a total of 67 core, sediment, and rock samples were collected in a 50 km2 area by divers and a ponar sampler deployed from a survey vessel. These samples were analyzed for sediment size, sorting, morphology and source, organic and carbonate content, testate amoebae, and organic materials. A series of indicators, including distinct microfossil assemblages (such as species only found in sphagnum moss and boggy arctic ponds), rooted trees (tamarack and spruce), and charcoal (ca. 8–9000 yr old) reveal a series of microenvironments that are consistent with a subarctic climate. The analysis of the Alpena‐Amberley Ridge provides a detailed picture of the environment exploited by ancient peoples during the Lake Stanley lowstand period. The methodologies employed in this study can in turn help identify other unique microregions that may yield more archaeological sites with less obvious archaeological footprints.
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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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".