MétaCan
Menu
Back to cohort
Record W2522826823

The effects of the fur trade on aboriginal households in the middle Fraser region of British Columbia

2014· article· en· W2522826823 on OpenAlexaboutno aff
Lisa M. Smith

Bibliographic record

VenueThe Mathematics Enthusiast · 2014
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
FundersNational Endowment for the HumanitiesNational Science Foundation
KeywordsFur tradeGeographyPolitical scienceHistoryEconomic history
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.547
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.028
GPT teacher head0.298
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueThe Mathematics EnthusiastSame topicIndigenous Studies and EcologyFrench-language works237,207