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Record W2219346875 · doi:10.54055/ejtr.v3i1.42

Dracula’s image in tourism: Western bloggers versus tour guides

2010· article· en· W2219346875 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Tourism Research · 2010
Typearticle
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsTourismDestinationsAdvertisingTastePower (physics)SociologyPerceptionValue (mathematics)Order (exchange)Interpretation (philosophy)AestheticsMedia studiesHistoryPsychologyArtBusinessComputer science

Abstract

fetched live from OpenAlex

This study attempted to describe the different Western images related to Dracula tourism, and the role Bran Castle tour guides have in the image formation process. This is accomplished by analyzing the contents of Western tourists’ travel blogs, and of qualitative interviews elicited from Bran Castle tour guides. The qualitative content analysis resulted in seven themes focused on historical and fictional images of the destination. The results show that the majority of Western bloggers visit Bran in search for Count Dracula; however, the Bran Castle tour guides focus on presenting the historical truth. The findings are discussed in terms of their relevance to the destination image formation literature and the concept of authenticity.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.674
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.002

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 head0.100
GPT teacher head0.428
Teacher spread0.328 · 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