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Record W2758724626 · doi:10.1177/1469605317730411

The role of small villages in Northern Tsimshian territory from oral and archaeological records

2017· article· en· W2758724626 on OpenAlexafffund
Andrew Martindale, Susan Marsden, Katherine Patton, Angela Ruggles, Bryn Letham, Kisha Supernant, David Archer, Duncan McLaren, Kenneth M. Ames

Bibliographic record

VenueJournal of Social Archaeology · 2017
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of VictoriaUniversity of AlbertaRoyal British Columbia MuseumUniversity of TorontoCoast Mountain CollegeUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSettlement (finance)Human settlementIndigenousArchaeological recordArchaeologyOral historyContext (archaeology)HistoryEthnohistoryGeographyNarrativeEthnologyLocal historyGenealogyEcology

Abstract

fetched live from OpenAlex

Small villages have been central to progressive models of hunter-gatherer-fisher complexity on the Northwest Coast as a stage in the narrative of increasingly nonegalitarian social relations. We argue that Tsimshian settlement history is more complicated. We examine settlement and chronological data for 66 village sites in the Tsimshian area, 22 of which we define as small. Small villages were present in the area as early as 6500 years ago, but they are also contemporary with larger settlements until after 1300 years ago. We suggest that small villages represent a traditional Tsimshian social entity known as the wilnat’aał, or lineage, knowledge of which is preserved in Tsimshian oral records. We argue that the persistence of this settlement and community form illustrates the foundational role of this social unit throughout Tsimshian history, a result that has implications for archaeological research in the context of Indigenous history.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.693
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.034
GPT teacher head0.350
Teacher spread0.316 · 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 designObservational
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

Citations17
Published2017
Admission routes2
Has abstractyes

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