Anthropology presented on April 13, 2007. Title: Culture Built Upon the Land: A Predictive Model of Nineteenth-Century Canadien/Métis Farmsteads.
Bibliographic record
Abstract
The objective of this thesis is to provide a predictive model for the archaeological investigation of the first farmsteads in the Pacific Northwest, established in the early- and mid-nineteenth century by Canadien and Métis families retiring from their service in the fur trade. Past studies of this population have either failed to thoroughly discuss or relied on stereotyped interpretations of this unique ethnic group due to an over-reliance on and uncritical use of English-language sources. The inherent bias of many Anglophone sources has lead to the misinterpretation and ignorance of the unique character of these early settlers and, thus, a lack of thorough investigation into their contribution to Pacific Northwest history. My hypothesis is that the Canadien and Francophone Métis men patterned their settlements on a mental template derived from seventeenth-century European settlement in the Saint-Lawrence River Valley. I have used both English- and French-language primary and secondary sources from archives in the United States and Canada circa 1600-1900. First, I identified and described the core
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 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".