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Record W4321243159 · doi:10.1080/14766825.2023.2178314

Eurocentric cultural theme parks in Japan: domestic tourists’ perspectives on place branding

2023· article· en· W4321243159 on OpenAlexaff
Atsuko Hashimoto, David J. Telfer, Kyoko Telfer

Bibliographic record

VenueJournal of Tourism and Cultural Change · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsWestern UniversityBrock University
Fundersnot available
KeywordsTheme (computing)TourismTheme parkCultural tourismAdvertisingSociologyMedia studiesHistoryGeographyEconomyTourism geographyBusinessArchaeology

Abstract

fetched live from OpenAlex

During the Bubble Economy era, cultural theme parks were constructed in rural Japan for economic rejuvenation. These cultural theme parks or gaikoku mura (foreign villages) embrace foreign cultures and landscapes rather than rollercoasters. They offer Japanese tourists the foreign travel experience adapted and modified for the Japanese market. Set within place-based branding, imaginaries, and authenticity, this paper compares the Eurocentric theme parks of Huis Ten Bosch in Nagasaki and Yufuin Floral Village in Oita. Opening in 1992, Huis Ten Bosch is a large-scale cultural theme park based on Nagasaki’s historical connection to the Netherlands. Recreating Dutch cities and landscapes, it offers hotels, restaurants, shops, and attractions. Within the hot springs area of Yufuin, the Floral Village opened in 2012, modelled after The Cotswolds, UK. Houses with storybook architecture contain souvenir shops and tea rooms featuring characters from British literature and Studio Ghibli anime. Based on site visits, photographic documentation, and qualitative sentiment analysis of comments written by visitors on TripAdvisor, the paper investigates the perceptions of Japanese tourists. They are positive about Huis Ten Bosch with developers having successfully created and branded a Dutch environment, while mixed messages at Yufuin demonstrate the importance of product-market match for these ‘exotic’ attractions.

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)0.001
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 score0.234
Threshold uncertainty score0.532

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.070
GPT teacher head0.366
Teacher spread0.296 · 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

Citations5
Published2023
Admission routes1
Has abstractyes

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