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Record W1982140935 · doi:10.1080/10548408.2011.563168

Investigating the Memorable Experiences of the Senior Travel Market: An Examination of the Reminiscence Bump

2011· article· en· W1982140935 on OpenAlexaff
Vincent Wing Sun Tung, J. R. Brent Ritchie

Bibliographic record

VenueJournal of Travel & Tourism Marketing · 2011
Typearticle
Languageen
FieldPsychology
TopicNostalgia and Consumer Behavior
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsReminiscenceTourismPsychologyAutobiographical memoryIdentity (music)AestheticsHistoryRecallCognitive psychologyArt

Abstract

fetched live from OpenAlex

The importance of the senior travel market has been well-recognized by tourism marketers and researchers. While academic studies have begun to examine the psychological aspects of senior travelers, more progress must be made to investigate the psychology of memory, particularly with respect to the reminiscence bump, behind the nature of their memorable experiences (MEs). In-depth interviews with 42 respondents revealed five characteristics: identity formation, family milestones, relationship development, nostalgia reenactment, and freedom pursuits. Finally, the practical implications of this study are discussed and several avenues for future research are proposed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
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 head0.038
GPT teacher head0.281
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations173
Published2011
Admission routes1
Has abstractyes

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