Fort Conger: A Site of Arctic History in the 21st Century
Bibliographic record
Abstract
Fort Conger, located at Discovery Harbour in Lady Franklin Bay on northern Ellesmere Island, Nunavut, played an intrinsic role in several High Arctic expeditions between 1875 and 1935, particularly around 1900–10 during the height of the Race to the North Pole. Here are found the remains of historic voyages of exploration and discovery related to the 19th century expeditions of G.S. Nares and A.W. Greely, early 20th century expeditions of R.E. Peary, and forays by explorers, travelers, and government and military personnel. In the Peary era, Fort Conger’s connection with indigenous people was amplified, as most of the expedition personnel who were based there were Inughuit from Greenland, and the survival strategies of the explorers were largely derived from Inughuit material cultural and environmental expertise. The complex of shelters at Fort Conger symbolizes an evolution from the rigid application of Western knowledge, as represented in the unsuitable prefabricated Greely expedition house designed in the United States, towards the pragmatic adaptation of Aboriginal knowledge represented in the Inughuit-influenced shelters that still stand today. Fort Conger currently faces various threats to its longevity: degradation of wooden structures through climate and weathering, bank erosion, visitation, and inorganic contamination. Its early history and links with Greenlandic Inughuit have suggested that the science of heritage preservation, along with management practices of monitoring, remediation of contamination, and 3D laser scanning, should be applied to maintain the site for future generations.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".