Rediscovering lost relationships: Canadian Arctic ethnographic materials recovered from the ‘ghost ship’ <i>Baychimo</i> and the University of Alaska Museum of the North
Bibliographic record
Abstract
ABSTRACT In 1931, the Hudson's Bay Company cargo steamer, SS Baychimo , was trapped in sea ice and abandoned in the Chukchi Sea off the northern coast of Alaska. Large amounts of scientific and navigational instruments and gear and personal items were left aboard, among them an ethnographic collection gathered in 1930 from Inuit groups in the Canadian Arctic by Richard Sterling Finnie. The ship was boarded several times over the next three years with items being salvaged by locals from nearby Wainwright and Barrow. In 1933, crew and passengers from MS Trader , a small trading vessel from Nome, boarded the abandoned ship and recovered several of Finnie's ethnological specimens. In 1934, Peter Palsson, crewmember of Trader , gave several ethnological specimens to members of the United States Department of the Interior-Alaska College Archaeological Expedition. That year, the Baychimo collection was accessioned to the nascent University of Alaska Museum (now, the University of Alaska Museum of the North). For over 80 years, the collection's relationships with Finnie, the Baychimo , and Palsson remained obscure, and its historical significance has just been rediscovered. This paper describes the collection and the path it took from the Baychimo to the University of Alaska Museum.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".