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Record W1596975009

Sustainable Development or Integrated Rural Tourism? Considering the Overlap in Rural Development Strategies

2014· article· en· W1596975009 on OpenAlexvenueno aff
Holly R. Barcus

Bibliographic record

VenueJournal of rural and community development · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
Fundersnot available
KeywordsOperationalizationRural tourismTourismSustainabilitySustainable developmentSustainable tourismRural developmentEconomic growthRural managementLocalityCommunity developmentScale (ratio)Tourism geographyBusinessPolitical scienceEconomicsGeographyEcology
DOInot available

Abstract

fetched live from OpenAlex

U.S. Rural development has been influenced by numerous philosophies and varies significantly by locality. As rural economies have restructured, communities have struggled to evolve and adapt their images and economies in order to survive. One approach embraced by communities is Sustainable Development. While the intricacies of sustainability and ability of communities to fully embrace sustainable development have been widely debated, communities have nonetheless sought to operationalize the concept to enhance their development prospects. More recently the concept of Integrated Rural Tourism has been promoted as a means of facilitating more holistic rural development, incorporating cultural, economic, and environmental considerations at the local scale. This paper utilizes interviews with local community members to review the process by which one upper-Midwestern community adopted and implemented sustainable development questioning whether the outcome is more reflective of an integrated rural tourism approach and seeking to better understand the conceptual and applied overlap between these two models of rural development. Keywords: Bayfield, sustainability, integrated rural tourism, rural development

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.031
GPT teacher head0.303
Teacher spread0.271 · 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 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

Citations17
Published2014
Admission routes1
Has abstractyes

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