An Artifact and Spatial Analysis of South Branch House (FfNm-1)
Bibliographic record
Abstract
The archaeological site FfNm-1 (South Branch House) is a late 1700s fur trade site located on the South Saskatchewan River in Central Saskatchewan. Its construction is attributed to the Hudson’s Bay Company fur trade post of the same name, dating to between 1786-1794. Between the years of 2005 and 2014 the Saskatchewan Archaeological Society operated a series of public field schools with the purpose of excavating this site and exposing the public to a hands-on archaeological experience. The results of these field schools recovered over 24,000 artifacts and excavated 215 units. The identity, corporate affiliation and occupation dates of the site were called into question prior to the completion of the field schools. Today, after nearly a decade of field work on this site has taken place, the large quantity of data offers an excellent opportunity to re-evaluate what is known about FfNm-1. The following thesis contributes to this re-evaluation through a functional analysis of the site’s artifacts and GIS-based horizontal and vertical analyses of artifact distribution. Through multiple lines of evidence these analyses successfully determined a range of occupation dates at the site, as well as provided tentative corporate affiliations. It was further determined that while more information is needed, the site is consistent with what would be expected at the Hudson’s Bay Company’s South Branch House.
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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 | 0.002 | 0.005 |
| 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) | 0.004 | 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".