SPATIAL AND FEATURE ANALYSIS OF THE WHITING SLOUGH SITE (ElNs-10): AN AVONLEA PROCESSING SITE IN SOUTH-CENTRAL SASKATCHEWAN
Bibliographic record
Abstract
This thesis discusses the overall function and description of features and activity areas for the Whiting Slough Site (ElNs-10). This is done by investigating the spatial relationships between various artifact groups to identify localized densities of activity. These artifact densities were then analyzed and interpreted to be specific activity areas within the larger processing events taking place at the site. The features found at the site were separated into various feature classes based on their attributes. In addition, the spatial relationship of these features to each other was assessed. The spatial analysis of the site employed ESRI’s ArcMap to assess and compare artifact density of different artifact groups. This facilitated identification of site function as well as identifying the specific areas of distinct processing events. As a result of this project the site was identified as an Avonlea processing site. However, this processing site has additional features that have not previously been seen in other Avonlea processing sites. There are a total of 43 different features that were discovered during excavation of the site. These are divided into four different feature types: bone-filled pits (39), hearths (2), a canid burial (1) and a soil stain (1). These features are accompanied by an additional seven potential bone-filled pits that were discovered during construction monitoring following excavation. These individual features combine to form two distinct ovoid feature groups that run parallel to one another. Potentially two more of these feature groups were partially unearthed during excavation and construction monitoring. These features are interpreted to be part of a drying rack. It is hypothesized within this thesis that these bone-filled pit features were created to counteract the difficulties with trying to anchor heavy loads of meat into the very loose sandy sediment that is present at the site. The Whiting Slough Site appears to be much different than any other Avonlea processing sites. The uniqueness of these features as well as the large amounts of artifacts, both faunal and lithic, make the Whiting Slough Site an interesting and important site for understanding the subsistence strategies and versatility of people within the Avonlea Phase.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| 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".