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Record W7115584554 · doi:10.15180/252406

Silence in the collections -- revealing science stories through Indigenous partnership

2025· article· en· W7115584554 on OpenAlexaboutno aff

Bibliographic record

VenueScience Museum Group Journal · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIndigenous Health, Education, and Rights
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousExhibitionGeneral partnershipTraditional knowledgeThe artsEliteScience educationValue (mathematics)

Abstract

fetched live from OpenAlex

This article reveals the transformational value of Indigenous partnership for understanding the science stories within our collections. Indigenous objects are often poorly catalogued in the collection, with vague descriptions such as, 'perhapes [sic] prepared by Canadian Indians' belying provenance and worse, obscuring the scientific and technological contributions of Indigenous Nations. In this article, Hartman Deetz, a Wampanoag arts and education consultant and tribal citizen, and Milly Mulcahey-Knight, a white, non-Indigenous anthropologist and research assistant at the London Science Museum, collaboratively interpret two objects made of birchbark in the care of the Science Museum Group (SMG). The first is a collection of five pieces of maple sugar, stored in individual conical containers of twisted birchbark. The second is an intricately designed model birchbark canoe. Starting with vague catalogue descriptions, Hartman and Milly detail the use of the maple sugar as a medicinal plant, connected with other medicines and medical technologies in the collection. The model canoe is interpreted as a teaching tool for Ojibwe-style birchbark canoes which turned riverways into transport routes for trade and cultural exchange. This ingenious use of the flexible and waterproof birchbark also left its mark on London. As a central technology of the beaver trade, these canoes were profited off by London's elite and even remembered in the architecture of Oxford Street. The research described took place during the planning of an exhibition at the London Science Museum on Science and Technology in North America in the mid-1700s. Milly and Hartman joined the team as the curators transitioned from a two-year-long research stage into exhibition planning. Hartman acted as a paid independent cultural advisor. Milly was on a four-month placement funded by the White Rose Consortium as part of her PhD research into Indigenous and non-Indigenous partnerships in heritage work. In partnership they identified objects and interpreted Indigenous science stories, to enrich the exhibition and collections interpretations. Overall, this article demonstrates that collaborative interpretation with Indigenous experts not only adds detail to the SMG and Wellcome Collection catalogues but challenges the silencing of Indigenous contributions to science and technology.

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)0.017
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.555
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0170.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.013
Science and technology studies0.0780.006
Scholarly communication0.0020.002
Open science0.0020.000
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 head0.369
Teacher spread0.336 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

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