The effects of the fur trade on aboriginal households in the middle Fraser region of British Columbia
Bibliographic record
Abstract
Ethnographic literature of First Nations groups in the Middle Fraser region of British Columbia describe communities that were hierarchically organized with elite, commoner, and slave classes, underwritten by elite ownership of keystone resources, and perpetuated by competitive feasting events used to maintain debt relations, unequal distribution of food and raw materials, and possibly elite control over trade networks. Narratives of the ethnographic present are commonly utilized to describe cultural patterns of the deeper past, despite the fact that we lack knowledge of the effects of European colonialism and the role it may have had in shaping the socioeconomic and political organizations described by early ethnographers. Utilizing household and agency-based theoretical approaches, this study evaluates the effects of the fur trade on aboriginal households in the Mid-Fraser. Ethnographic data are utilized, not as direct interpretive analogy, but rather, in conjunction with archaeological data, ethnohistoric documents, and Native oral traditions, all of which were used to formulate testable hypotheses and archaeological expectations. Results of this research suggest that the ethnographic record is founded upon deeply embedded social memories of the more ancient past, along with later developments during the Fur Trade and other periods in Mid-Fraser history. Participation in regional trade networks and material-based wealth can be traced to the deeper past, while importance placed on hunting roles and use of deer meat as a prestige food were possibly later developments, along with competitive feasting as described ethnographer James Teit. Thus ethnographic data are not always reliable tools for direct interpretive analogy of the more ancient past. Instead they are most effective when used in comparison and contrast with multiple lines of evidence.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".