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Record W2791832130 · doi:10.1111/muan.12169

Lines of Discovery on Inuit Needle Cases, <i>Kakpiit</i>, in Museum Collections

2018· article· en· W2791832130 on OpenAlexafffundabout
Krista Ulujuk Zawadski

Bibliographic record

VenueMuseum Anthropology · 2018
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsUniversity of British Columbia
FundersGovernment of NunavutSmithsonian Institution
KeywordsIndigenousTraditional knowledgeAnthropologyMuseologyThe arcticMuseum informaticsArcticHistoryNational museumCultural heritageVisual artsCollections managementSociologyArchaeologyArtEcology

Abstract

fetched live from OpenAlex

Abstract Drawing on examples of museum collections research by Indigenous people, including my own research experiences, I argue for the importance of Indigenous people's access to museum collections for cultural and language revitalization efforts. Access to museum collections generates and stimulates memories and knowledge among elders and young people; thus it helps to preserve and promote intangible heritage alongside interactions with tangible belongings. I position myself as an Inuk individual, utilizing Indigenous epistemology and methodology to guide my path in an effort to decolonize museum collections and to help foster a meaningful relationship between Inuit communities and museum collections. Through the study of needle cases in museum collections and interactions with local community members in Canada's Arctic, I explore the questions: How can Arctic museum collections serve as an intermediary between the Inuit community and the discipline of anthropology? How can Inuit perspectives and interpretations of our own cultural material influence knowledge about needle cases, as well as other cultural material that is curated in museums? [Inuit, needle cases, kakpiit, museum collections]

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.050
GPT teacher head0.405
Teacher spread0.355 · 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

Citations6
Published2018
Admission routes3
Has abstractyes

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