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Indicators of community economic development through mural‐based tourism

2005· article· en· W2106912975 on OpenAlexaffvenueabout
Rhonda Koster, James E. Randall

Bibliographic record

VenueCanadian Geographies / Géographies canadiennes · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsUniversity of Northern British ColumbiaLakehead University
Fundersnot available
KeywordsBeautificationTourismMuralProcess (computing)Community developmentPrideMarketingBusinessPublic relationsPolitical scienceEconomic growthEngineeringCivil engineeringComputer scienceEconomicsVisual arts

Abstract

fetched live from OpenAlex

Community Economic Development (CED) has become a recognised form of economic development, despite contention regarding its definition and applications. It is acknowledged that development planning benefits from a more holistic approach with a focus on community participation. The objective of this paper was to explore the process and selected indicators of CED success through an examination of five Saskatchewan communities that have made the conscious decision to develop tourism through the use of wall murals on the exteriors of buildings. Extensive in‐person interviews were conducted with stakeholders in each of these communities. Generally, this research has found that both the CED process undertaken and the measurement of success are dependent upon the desired outcomes of mural development. For example, in communities that created murals‐as‐community‐beautification, the process was less formalised and success was measured more qualitatively, for example in increased community pride and the development of social relationships. For those communities where murals were developed as part of an explicit economic development strategy, the process was more formalised and the outcomes measured more quantitatively, including the numbers of visitors, employment and businesses created. This research also indicates that 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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.454
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.238
Teacher spread0.216 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations55
Published2005
Admission routes3
Has abstractyes

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