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Record W3127609305 · doi:10.1080/13683500.2021.1881052

The effects of risk message frames on post-pandemic travel intentions: the moderation of empathy and perceived waiting time

2021· article· en· W3127609305 on OpenAlex
Chaowu Xie, Jiangchi Zhang, Alastair M. Morrison, J. Andrés Coca‐Stefaniak

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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent Issues in Tourism · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaFederation for the Humanities and Social Sciences
KeywordsEmpathyModerationPandemicPsychologyRisk perceptionSocial psychologyAdvertisingCoronavirus disease 2019 (COVID-19)BusinessMedicinePerceptionDisease

Abstract

fetched live from OpenAlex

The moderation roles of empathy and perceived waiting time (PWT) on post-pandemic travel intentions have not as yet been investigated. This study of 684 Chinese resident respondents elicited how COVID-19 risk messages affected post-pandemic travel intentions. The results showed that people exposed to messages in the risk-amplifying frame had lower basic travel and destination travel intentions than those who were exposed to messages in the risk- attenuating frame. Empathy had a beneficial effect on basic travel intentions and had an inducing effect on destination travel intentions only in high-risk situations. High PWT tourists had more positive destination travel intentions in the risk-attenuating frame. The findings provide a theoretical basis for future research as well as practical implications for destination risk communications and market restoration during a public health crisis.

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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.619

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.020
GPT teacher head0.339
Teacher spread0.319 · 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