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Record W3136569202 · doi:10.1017/aaq.2020.115

Were the Ancient Coast Salish Farmers? A Story of Origins

2021· article· en· W3136569202 on OpenAlexaffabout
Natasha Lyons, Tanja Hoffmann, D. Quentin Miller, Andrew Martindale, Kenneth M. Ames, Michael Blake

Bibliographic record

VenueAmerican Antiquity · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsUniversity of British ColumbiaAssembly of First NationsUniversity of SaskatchewanSimon Fraser University
Fundersnot available
KeywordsGeographyArchaeologyStewardship (theology)AppropriationEthnobotanyEthnologyHistoryEcologyPoliticsPolitical science

Abstract

fetched live from OpenAlex

Were the ancient Coast Salish farmers? Conventional anthropological wisdom asserts that the ethnographically known communities of the Northwest Coast of North America were “complex hunter-fisher-gatherers” who lacked any form of concerted plant food cultivation and production. Despite decades of extensive ethnobotanical and paleoethnobotanical study throughout the Pacific Northwest demonstrating the contrary, this “classic anomaly” is still a cornerstone of anthropological and archaeological canons. The recent discovery of a spectacularly preserved wetland wapato (Indian potato, Sagittaria latifolia ) garden, built 3,800 years ago in Katzie traditional territory near Vancouver, British Columbia, has helped recast this picture, alongside evidence for other forms of resource management practiced by Northwest Coast peoples. This article examines “origins of agriculture” stories from three distinctive perspectives: Coast Salish Katzie people who cultivated wapato for millennia; settlers who colonized the Fraser River Delta historically, bringing with them their own ideas about what constitutes farming; and archaeologists, who are challenged by these data to reevaluate their own understandings of these cultural constructs. These perspectives have critical bearing on the historical appropriation of lands and waterways by settler communities in British Columbia as well as contemporary questions of sovereignty and stewardship in this region and well beyond.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0180.024
Scholarly communication0.0050.004
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.307
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations24
Published2021
Admission routes2
Has abstractyes

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