Impacts of resource fluctuations and recurrent tsunamis on the occupational history of Čḯx<sup>w</sup>icən, a Salishan village on the southern shore of the Strait of Juan de Fuca, Washington State, U.S.A.
Bibliographic record
Abstract
A summed probability density function (spdf), generated from the catalog of 101 radiocarbon ages on wood and charcoal from the Čḯxwicən archaeological site (Washington State, USA), serves as a proxy for the site's occupational history over the last 2500 years. Significant differences between spdfs derived from a null model of population growth (a bootstrapped logistic equation) and the observed index suggest relatively less cultural activity at Čḯxwicən between about 1950–1750 cal BP, 1150–950 cal BP, and 650 to 550 cal BP; and increased activity between about 1350–1250 cal BP and 550–500 cal BP. Peaks in the Čḯxwicən spdf are closely echoed by those derived from English Camp and Cama Beach, the other intensively dated archaeological sites in the region, from about 1600 to 650 cal BP. The fluctuations at all three sites in that period appear to be predominantly associated with the availability of marine resources, as shown by a statistically significant correlation between the Čḯxwicən spdf and the abundance of fish remains in late Holocene sediments in Saanich Inlet, a fjord on the southeast coast of Vancouver Island. A dramatic fall in the Čḯxwicən spdf after 1250 cal BP, and the presence of sandy deposits in the village midden may reflect the impact of a tsunami triggered by earthquake “U” at the neighboring Cascadia plate boundary. Other tsunamis from this source over the last 2500 years apparently had more modest effects on activity levels at Čḯxwicən.
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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 | 0.000 |
| 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) | 0.002 | 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".