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Record W4386793517 · doi:10.3390/arts12050198

Knowledge Repatriation: A Pilot Project about Making Cedar Root Baskets

2023· article· en· W4386793517 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueArts · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsRoyal British Columbia Museum
Fundersnot available
KeywordsRepatriationIndigenousTraditional knowledgeWork (physics)UrbanizationPolitical scienceGeographySociologyArchaeologyEthnologyEngineeringEconomic growthEcology

Abstract

fetched live from OpenAlex

This paper describes the first phase of a Coast Salish Knowledge Repatriation Project being coordinated by the Curator of Indigenous Collections and Engagement at the Museum of Vancouver, within the unceded, ancestral territories of the xʷməθkʷəýəm (Musqueam), Sḵwx̱wú7mesh (Squamish), and səlilwətaɬ (Tsleil-Waututh) nations. The goal of this knowledge repatriation work is to support cultural revitalization and language renewal through activities that generate learning opportunities for community members. These activities pivot around knowledge that has been lost due to urbanization, forced assimilation efforts, and other colonial activities that may have restricted access to traditional lands and resources, preventing knowledge transmission. This work is about shifting the focus from extractive projects, that benefit external audiences, to one that supports capacity building and cultural renewal within communities. This essay describes a project to reintroduce coiled cedar root basketry into communities within the Greater Vancouver area in the province of British Columbia, Canada.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.074
GPT teacher head0.391
Teacher spread0.317 · 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