Chilkoot: An Adventure in Ecotourism
Bibliographic record
Abstract
A trail book unlike any other, Chilkoot: An Adventure in Ecotourism is a richly woven insight into the Chilkoot Trail and the region straddling the American-Canadian border in the Alaska and British Columbia. The authors present the trail in three interrelated parts. They begin by describing the trail as a classic example of modern ecotourism with reference to management practices and user expectations, responses, and satisfaction. Then they show the amazing history of the trail. They conclude with an illustrated presentation of their own experiences. The Chilkoot has a long and varied history: it was an important trade route of the coastal Tlingit people; it attracted worldwide notoriety during the frantic Klondike Gold Rush days; and now it has an international reputation among recreational hikers. Today, Chilkoot is an icon. It is thirty-three miles (53 km) of dense forest, rugged mountain, golden sand dune, rushing river, and sylvan lake settings stretching from Alaskan salt tidewater to freshwater Lake Bennett at the headwaters of the Yukon River in British Columbia. Rich in natural and cultural history and protected entirely as parkland, the Chilkoot forms a major portion of the extensive Klondike Gold Rush International Historical Park.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.026 | 0.003 |
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".