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Record W1950698796

Jumping on the bandwagon : an examination of mural-based tourism as a strategy for community economic development in rural areas

2004· book· en· W1950698796 on OpenAlexaboutno aff
Rhonda Koster

Bibliographic record

VenueUniversity Library - University of Saskatchewan (University of Saskatchewan) · 2004
Typebook
Languageen
FieldSocial Sciences
TopicPublic Spaces through Art
Canadian institutionsnot available
Fundersnot available
KeywordsTourismBandwagon effectRural tourismGeographySustainabilityMarketingCommunity developmentTourism geographyEconomic growthBusinessPolitical scienceEconomics
DOInot available

Abstract

fetched live from OpenAlex

As towns and cities across Canada face rapidly changing economic circumstances, many are turning to a variety of strategies, including tourism, to provide stability in their communities. Community Economic Development (CED) has become an accepted form of economic development, with the recognition that such planning benefits from a more holistic approach and community participation. However, much of why particular strategies are chosen, what process the community undertakes to implement those choices and how success is measured is not fully understood. Furthermore, CED lacks a developed theoretical basis from which to examine these questions. By investigating communities that have chosen to develop their tourism potential through the use of murals, these various themes can be explored. There are three purposes to this research: 1) to acquire an understanding of the 'how' and the 'why' behind the adoption and diffusion of mural-based tourism as a CED strategy in rural communities; 2) to contribute to the emerging theory of CED by linking together theories of rural geography, rural change and sustainability, and rural tourism; and 3) to contribute to the development of a framework for evaluating the potential and success of tourism development within a CED process. Two levels of data collection and analysis were employed in this research. Initially, a survey of Canadian provincial tourism guides was conducted to determine the number of communities in Canada that market themselves as having a muralbased tourism attraction (N=32). A survey was sent to these communities, resulting in 31 responses suitable for descriptive statistical analysis, using Statistical Package for the Social Sciences. A case study analysis of the 6 Saskatchewan communities was conducted through in-depth, in person interviews with 40 participants. These interviews were subsequently analyzed utilizing a combined Grounded Theory and Content Analysis approach. The surveys indicated that mural development spread within a relatively short time period across Canada from Chemainus, British Columbia. Although tourism is often the reason behind mural development, increasing community spirit and beautification were also cited. This research demonstrates that the reasons this choice is made and the successful outcome of that choice is often dependent upon factors related to community size, proximity to larger populations and the economic (re)stability of existing industry. Analysis also determined that theories of institutional thickness, governance, embeddedness and conceptualizations of leadership provide a body of literature that offers an opportunity to theorize the process and outcomes of CED in rural places while at the same time aiding our understanding of the relationship between tourism and its possible contribution to rural sustainability within a Canadian context. Finally, this research revealed that both the CED process undertaken and the measurement of success are dependent upon the desired outcomes of mural development. Furthermore, particular attributes of rural places play a critical role in how CED is understood, defined and carried out, and how successes, both tangible and intangible, are measured.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.669
Threshold uncertainty score0.665

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.009
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.212
Teacher spread0.192 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations3
Published2004
Admission routes1
Has abstractyes

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