Assessing the Walkability of King William Island by the Crew Members of the Franklin Expedition of 1845: A GIS Suitability Analysis
Bibliographic record
Abstract
With the HMS Erebus and HMS Terror found in 2014 and 2016, the future of work on the 1845 Franklin Expedition mystery now comes down to searching King William Island, Canada for the fates of the many missing crew members. There appears to be, however, little use of GIS in public literature to identify the route the crew took south across the island. While finding this would be near impossible, especially with over 175 years of change to the environment, GIS has the potential to offer some new insight into what happened, and at the very least, provide a visualization of the island’s difficult landscape. By using a suitability analysis, the walkability of King William Island can be assessed to identify the potential courses the crew took south. This work by no means is intended to be definitive, but rather it is hoped that it will encourage further and more in-depth uses of GIS to the mystery on land.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".