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Record W7112635646

Museums Without Walls:An interactive resource exploring connections between Orkney and the Hudson's Bay Company in Canada

2021· other· en· W7112635646 on OpenAlexaboutno aff

Bibliographic record

VenueDiscovery Research Portal (University of Dundee) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsBespokeIndigenousResource (disambiguation)The arcticVariety (cybernetics)CasualProject team
DOInot available

Abstract

fetched live from OpenAlex

Through this project the Stromness Museum collaborated with the 3DVisLab at the University of Dundee and source community members in Canada to co-design an interactive digital resource with the aim of bringing the collections to a global audience. The resource has been designed around an interactive map which brings together diverse voices to create fresh perspectives and insights on the museum’s Hudson’s Bay Company, John Rae and Moravian Mission collections. <br/><br/>The programme of work conducted by the 3DVisLab has included research into the collections, collaboration with Indigenous partners, interaction design, production of bespoke artwork and 3D structured light scanning of around 80 objects from the museum collections. A significant focus for the project has been connecting with source communities and family connections between Orkney and Canada. The collections contain objects from a number of Indigenous groups including Inuit, Greenlandic, Alaska Native, Métis, Cree, Ojibwe and Iroquois. Through an honorarium system we have been able to invite a number of collaborators to join the team in various capacities as local researchers, provenance consultants, interviewees and interviewers. The team have conducted a number of interview sessions with individuals from a range of backgrounds including Orcadians with Cree and Inuit relations in Canada, families with relatives who worked for HBC, Indigenous artists, researchers and historians. We have then worked to pair 3D objects, photographs and locations on the interactive map with a rich variety of these insightful voices. Particularly noteworthy research contributors include Inuk researcher and museum consultant Krista Ulujuk Zawadski, Arctic collections consultant Dr Peter Loovers (curator on the recent British Museum Arctic exhibition) and museum assistant Lise Bos at the University Museum in Aberdeen who have been researching the material, cross-checking museum collections elsewhere and compiling Inuk-curated object descriptions for the museum’s Inuit collections which previously had very little background information and context. <br/><br/>The new interactive resource is presently installed in the Stromness Museum on a new touchscreen kiosk and is shortly due for release online in January 2021, where audiences from around the world will be able to access these 3D collections remotely for the first time, curated by multi-vocal stories spanning the Atlantic and 250 years of shared 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.561
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.002
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 head0.096
GPT teacher head0.305
Teacher spread0.209 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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