Cataloochee: Lost Settlement of the Smokies
Bibliographic record
Abstract
There is a buzz of excitement in Cataloochee these days. Visitors come into this section of the Great Smoky Mountains National Park by the thousands to view the majestic elk and other wildlife roaming the valley. However, there were no elk in Cataloochee for almost 200 years. European settlers arrived in North Carolina in 1587 and the Eastern Elk was hunted to extinction in the 1790s. Fortunately, elk were successfully reintroduced (from Kentucky and Canada) into Cataloochee in 2001 and appear to be on a path to success. But what about the people? What about the Cataloochans who arrived after the elk? The valley has always been difficult to access and the people who came to the valley and settled it in the 1800s were made of sterner stuff than most. What happened to this settlement in the beautiful, remote Cataloochee Valley, which at one time boasted over 1200 residents and was the largest settlement in the Smokies? This is their story ... as told by them.
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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 | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.019 | 0.005 |
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".