Assessing the economic benefits of Ancient Forest Trail ecotourism in McBride, British Columbia.
Bibliographic record
Abstract
McBride, British Columbia, has long relied on forestry as the primary sector of its economy.With shrinking employment, timber demand and supply, community members are now pursuing opportunities for economic diversification.Tourism has been identified as one o f three initiatives aimed at improving local economic stability and diversification.An emerging element in the region's ecotourism potential is the Ancient Forest Trail (AFT).The purpose of this research is to assess the AFT's potential economic benefit as a tourist attraction and contributor to economic diversification.First, the number o f AFT tourists and their economic benefit is calculated using a trail counter and questionnaires.Second, AFT ecotourism is examined in the context o f local economic diversification, using economic analyses to describe the structure and dynamics of the local economy and key informant interviews to access community knowledge.Results describe a local economy in transition, an emerging ecotourism attraction with a positive economic benefit, and a community disagreement regarding tourism as an economic priority.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".