Site Catchment Analysis of the Little Qualicum River Site, DiSc 1: A Wet Site on the East Coast of Vancouver Island, B.C.
Bibliographic record
Abstract
Excavations at the Little Qualicum River site, DiSc 1, yielded a Gulf of Georgia culture type assemblage dating from about A.D. 1000. In addition to stone, bone, antler, and shell -- materials commonly found in prehistoric sites on Vancouver Island -- artifacts made of wood and bark were recovered. It is the presence of the unique floral material which prompted the dual focus of this thesis: a general description of the site and the cultural assemblage (with particular emphasis on the wood and bark artifacts), and a locational analysis which relates the range of materials (resources) to the subsistence activities carried out at the site. The excavated remains indicate that the primary activity at the site was fishing salmon. Clams, other fish, and deer were the next most heavily exploited food resources, and western red cedar accounts for the majority of the floral artifacts. The archaeological data, consisting of all the floral and faunal species and minerals recovered from the cultural deposits, are considered in terms of the microenvironments from which they would have been obtained given a particular technological adaptation. The environmental variables are derived from modern habitat descriptions for each of the represented species. Cultural variables are basad on ethnographic analogy supported by the evidence of the artifact assemblage. The site catchment analysis, which is a synthesis of archaeological, environmental, and ethnographic data, is in part presented in a series of maps. Time/distance contours are drawn around the site, the several ecological zones in the vicinity are identified, and the smallest area which can account for the regularly exploited resources is delineated. The reconstructed site territory illustrates the minimal (10-30 minutes) work-effort measured in terms of travel time/distance that would have been expended on normal subsistence activities by the inhabitants of DiSc 1. Moreover, the actual site is determined to be in a rationally selected location since other topographically suitable spots would require longer travel time to obtain the same set of resources. On this basis some predictions are made regarding site distribution in the region. The overall conclusion of the study is that the site catchment model is useful for the examination of economic behaviour patterns of coastal prehistoric communities in the Northwest Coast culture area.
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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 | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".