Abstract: Geomorphological processes and the formation of the lower Saint John River, New Brunswick, leading to Holocene occupation
Bibliographic record
Abstract
Deglaciation of New Brunswick resulted in fl ooding of the Saint John River valley, marine incursion, and formation of a large inland lake informally referred to here as de-glacial Grand Lake. Examination of topography and existing drill-core data from drill sites within the lower Saint John River valley, may be used to reconstruct a deglacial geomorphic history for the Grand Lake area. This model is compared with 21 known archaeological sites, dating 400 to 6000 BP, indicating the spatial and temporal distribution of known archaeological sites relative to post-glacial evolution of the Saint John River valley. Present evidence from surrounding provinces and states, indicates that precontact occupation of the Maritimes occurred around 10 000 BP; however, no sites dating older than 6000 BP have been found in New Brunswick. It is not yet clear if the delineation of post glacial water bodies and lake levels will suggest that occupation of the area may have been hampered by residual ice masses and meltwater drainage systems. The delineation of ancient drainage pathways and associated occupational patterns aids in the prediction of where newly discovered and potentially older archaeological sites may be found within the region. The ability to predict areas with a high probability for buried archaeological sites can represent a major cost-saving to engineering projects and provide a focus for new archaeological research.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".