A Survey Reconnaissance of Eagle Creek: Identifying Place Through the Archaeological Record
Bibliographic record
Abstract
The Stranraer Terrace is a large geographical landmark located along Eagle Creek in mid-western Saskatchewan. After the identification of the Herschel Petroglyphs (EjOc-3) in the 1960s, the area has undergone numerous small scale archaeological surveys and three excavations. To understand the use and significance of this landmark, a judgmental survey was conducted and the cultural history was established through artifact collections. From the survey 54 new sites were identified bringing the total number of sites within the region to 118. The artifacts identified through collections, excavations, and surface finds show the region has been utilized for several millennia; spanning a time period from at least the Middle Period to post-contact. Understanding the significance of a locale and its role within the cultural landscape first requires a discussion on the formation processes of place. Both wayfinding theory and ecological concepts of patch selection are the building blocks of this type of analysis. If a spot satisfies some biological or cultural need, then there is incentive to return and use the space. It is through this repetition of use, that the locale becomes more than a location on the landscape. It takes on the attributes of memory, meaning, and experience. It is a transformation from space to place. The presence of petroglyphs, alignments, Medicine Wheels, and other sites of special significance indicate the Stranraer Terrace to be one of these places.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".