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Record W4405364705 · doi:10.1080/10371656.2024.2439156

Does understanding of pilgrimage routes elicit idealised emotional experiences through virtual reality walking?

2024· article· en· W4405364705 on OpenAlexaff
Eiji Ito, Shintaro Kono, Kei Tanisho, Tsukasa Kawanishi

Bibliographic record

VenueRural Society · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPilgrimageAffect (linguistics)Ideal (ethics)TourismVirtual realityPsychologySociologySocial psychologyGeographyComputer sciencePolitical scienceHuman–computer interactionCommunicationArchaeology

Abstract

fetched live from OpenAlex

The World Heritage pilgrimage routes known as Kumano Kodo have attracted both Japanese and international tourists to the rural area of Japan. By focussing on the two types of emotional experiences, namely awe and ideal affect, this research aims to investigate whether greater understanding of Kumano Kodo (a) influences awe experiences and (b) helps minimise ideal-actual positive affect discrepancies, when watching a virtual reality video of a Kumano Kodo walk. Through an experimental study involving a video, we found that greater understanding of Kumano Kodo neither significantly influenced awe experiences nor reduced the ideal-actual positive affect discrepancies. These null results are discussed in relation to the temporal aspect of awe in tourism contexts and the sources of tourism information-stimuli.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.494
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.072
GPT teacher head0.311
Teacher spread0.238 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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