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Record W1498064686 · doi:10.15353/joci.v8i1.3062

Online Communities As A Resource In Older Adults’ Tourism

2012· article· en· W1498064686 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.

venuePublished in a venue whose home country is Canada.
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

VenueThe Journal of Community Informatics · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsnot available
Fundersnot available
KeywordsNetnographyTourismEthnographyResource (disambiguation)Subject (documents)GerontologyPsychologyMedical tourismSociologyPublic relationsAdvertisingMarketingBusinessMedicineGeographyWorld Wide WebPolitical scienceSocial mediaComputer science

Abstract

fetched live from OpenAlex

Previous research found that tourism is a subject commonly discussed in seniors’ online communities. The present study aimed to explore tourism-related contents in these communities and to discover specific age-related themes. The study applied an online ethnography (Netnography) approach, and was based on a full year’s data from 14 leading seniors’ online communities. The final database included 3,425 posts. Contents were divided into three main categories: ‘Practical information exchange’, ‘Search for contacts’, and ‘Travel stories’. Specific age-related themes referred to retirement, seniors’ tours, health insurance concerns, and special rates for elders. Results indicate that online communities serve as a resource in older adults’ tourism both before and after traveling. Dedicated to seniors, they also provide a sphere for expressing age-related issues, which are probably less discussed in other online forums.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.558

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
Open science0.0010.000
Research integrity0.0000.001
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 head0.033
GPT teacher head0.244
Teacher spread0.211 · 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