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Record W4388421342 · doi:10.1080/1743873x.2023.2276869

Bending history into heritage at hidden Christian sites in Nagasaki, Japan: UNESCO World Heritage site designation and tourism

2023· article· en· W4388421342 on OpenAlexaff
Atsuko Hashimoto, David J. Telfer

Bibliographic record

VenueJournal of Heritage Tourism · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsBrock University
Fundersnot available
KeywordsTourismHeritage tourismCultural heritage managementWorld heritageIndustrial heritagePoliticsCultural heritageNarrativeHistoric siteHistoryGeographySelection (genetic algorithm)Political scienceEconomyArchaeologyEnvironmental ethicsLawArtComputer science

Abstract

fetched live from OpenAlex

A UNESCO World Heritage site designation is seen as a pathway to developing sustainable tourism and increasing opportunities to receive funding for the maintenance and management of the site. However, the designation of sites is often highly political with criticisms raised regarding the processes used by UNESCO. The inflexibility of selection criteria and the demand for tangible evidence of authenticity are inevitably jeopardising the selection of important heritage sites that need to be preserved. Outsider interference, distortion of historical facts, staging, and the Disneyfication of heritage are other contentions raised over how applications are manipulated to achieve a UNESCO designation. Through a qualitative narrative analysis and site visits, this paper examines the case of Hidden Christian Sites in the Nagasaki Region of Japan to examine how the intervention of ICOMOS significantly altered its application for World Heritage site designation and the resulting challenges the applicants faced in satisfying the selection criteria, thereby staging their heritage for tourism in the process. Greater recognition of local voices and alternative narratives is critical in the designation process to be true to history in an age dominated by heritage.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.117
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
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 head0.037
GPT teacher head0.304
Teacher spread0.267 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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