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Record W2072490136 · doi:10.2495/sdp-v10-n1-1-19

Accelerating cultural heritage tourism in San Antonio: a community-based tourism development proposal for the missions historic district

2015· article· en· W2072490136 on OpenAlexvenueno aff
S. Doganer, William Dupont

Bibliographic record

VenueInternational Journal of Sustainable Development and Planning · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
FundersNational Park ServiceUniversity of Texas at San Antonio
KeywordsProsperityTourismCultural heritageIndustrial heritageCultural heritage managementTourism geographyCultural tourismSustainabilityLocal communityHeritage tourismSustainable developmentBusinessPolitical scienceEconomyEconomicsLaw

Abstract

fetched live from OpenAlex

Cultural heritage tourism is a proven economic stimulus that creates jobs and direct economic benefits to locals. Heritage zones promote conservation of historic resources and can incubate small businesses, revitalize commercial districts, generate local jobs and foster positive change in a community. The social benefits are many, yet long-term retention of the benefits requires deliberate planning. The prosperity brought by the tourists tends to destroy the experiences they seek. Heritage tourists seek experiences of authentic cultural heritage. Yet, the economic prosperity of tourism can swiftly alter a region. Business and real estate development pressures increase as the tourist market expands, bringing changes that occlude and displace the local heritage. This paper posits that attention to cultural sustainability can mitigate negative impacts and correlate to a robust heritage tourism economy.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.160
Threshold uncertainty score0.831

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.085
GPT teacher head0.358
Teacher spread0.273 · 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.

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

Citations19
Published2015
Admission routes1
Has abstractyes

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