From Science to Survival: Using Virtual Exhibits to Communicate the Significance of Polar Heritage Sites in the Canadian Arctic
Bibliographic record
Abstract
Abstract Many of Canada’s non-Indigenous polar heritage sites exist as memorials to the Heroic Age of arctic and Antarctic Exploration which is associated with such events as the First International Polar Year, the search for the Northwest Passage, and the race to the Poles. However, these and other key messages of significance are often challenging to communicate because the remote locations of such sites severely limit opportunities for visitor experience. This lack of awareness can make it difficult to rally support for costly heritage preservation projects in arctic and Antarctic regions. Given that many polar heritage sites are being severely impacted by human activity and a variety of climate change processes, this raises concerns. In this paper, we discuss how virtual heritage exhibits can provide a solution to this problem. Specifically, we discuss a recent project completed for the Virtual Museum of Canada at Fort Conger, a polar heritage site located in Quttinirpaaq National Park on northeastern Ellesmere Island (http://fortconger.org).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".