Postglacial Sea-Level History and Coastline Change at Port au Choix, Great Northern Peninsula, Newfoundland
Bibliographic record
Abstract
CLOSENESS TO THE COAST and access to marine resources has always been an important determinant in the location of habitation centres at Port au Choix (Figure 1), from the earliest occupation by Maritime Archaic Indians over 6000 years ago to the present town. Since the end of the last glaciation the coastline of Port au Choix has changed dramatically. Melting ice sheets caused volumetric changes in sea water and vertical adjustments in the Earth’s crust, which resulted in significant sea-level changes. The former seabed emerged out of the water and the coastline moved in a seaward direction. As sea level dropped, old sites were abandoned and new sites established as the coastline was reconfigured. The purpose of this paper is to examine how postglacial changes in sea level affected the position and configuration of the Port au Choix coastline, and to show how the changing coast influenced the location of prehistoric occupation. Following a brief introduction to the spatial and temporal patterns of sea-level history in Newfoundland, we describe the study approach and the data set used to reconstruct sea-level change in the Port au Choix region. A series of palaeogeographic maps illustrates how the present coastline has evolved over the last 11,250 cal BP. 1 Finally, we examine the location of archaeological sites in the context of the contemporary coastline.
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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 | 0.002 |
| 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) | 0.002 | 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".