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Resort-induced Changes in Small Mountain Communities in British Columbia, Canada

2011· article· en· W2019498849 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueMountain Research and Development · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of Waterloo
FundersReal Estate Foundation of British Columbia
KeywordsAmenityTourismGovernment (linguistics)GeographyExploratory researchEnvironmental planningBusinessEnvironmental resource managementEconomic growthSociologyArchaeologyFinance

Abstract

fetched live from OpenAlex

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.082
Threshold uncertainty score0.466

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.108
GPT teacher head0.262
Teacher spread0.155 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it