The SkinBase Project: Providing 3D Virtual Access to Indigenous Skin Clothing Collections from the Circumpolar Area
Bibliographic record
Abstract
In 2014, the National Museum of Denmark (NMD), in conjunction with the Greenland National Museum and Archives (Nunatta Katersugaasivia Allagaateqarfialu [NKA]), as well as the Museum of Cultural History, Oslo, launched the website Skin Clothing Online. The site presents the NMD’s total collection of 2,170 historic skin clothing items, dating from circa 1830 to 1950, from the circumpolar area. The clothing can be studied in minute detail due to high-resolution photos; 100 complete suits were photographed from all sides. Furthermore, 107 items of clothing were measured by means of 3D technology, which can be used to draw precise two-dimensional patterns. The documentation is made accessible to the public through a website, in compliance with creative commons licenses: CC-BY-SA for the photos and CC-BY-SA-NC for the patterns. The website uses content from the database SkinBase. Since 2017 parts of the NKA’s collection of archeological skin clothing from Qilakitsoq (circa 1475 AD), as well as historical garments and contemporary fashions, have also been made accessible, in keeping with the same copyright rules for photos. The NKA staff entered the items into the database without difficulty using a Virtual Private Connection (VPN). The Danish and Greenlandic national museums encourage international partners to contribute items to the website. The aim is to create a collaborative open forum for information and research with easy access for everybody to unique, fragile pieces of circumpolar cultural heritage. With clothing from Arctic peoples and clothing used on expeditions to Antarctica, the Polar Museum in Cambridge will be the next museum to contribute to the website.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.033 | 0.016 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".