Resort-induced Changes in Small Mountain Communities in British Columbia, Canada
Bibliographic record
Abstract
The provincial government of British Columbia (BC) has proactively pursued resort development opportunities in its interior towns. Traditionally dependent on extractive industries such as forestry and mining, many interior mountain communities in BC are increasingly looking toward tourism and resort-induced economic opportunities. Fueled by the movement of amenity seekers, primarily from urban areas, resort development in mountain communities has triggered several internal and external pressures. This exploratory study examines growth trends in the mountain resort industry in 5 communities in BC: Fernie, Golden, Kimberley, Rossland, and Revelstoke. The analysis is based on secondary data, followed by field visits during the months of June and July 2006, which included 30 qualitative interviews with the mayors, planners, residents, and other stakeholders in the tourism and resort sectors. Research results indicate a significant growth in resort-induced development, primarily to attract second home owners and seasonal tourists. The development of mountain resorts may be characterized as enclavic, where almost all resorts are physically separate from the towns. This has given rise to gentrified communities, and it has posed planning and destination management challenges. The study concludes that local-level planning capacity needs to be greatly improved to address issues that are much broader in scope and require collaborative approaches to address the conflicting needs of the various stakeholders.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".