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Record W2807760289 · doi:10.1177/1356766718778878

Albania (Go Your Own Way!) to Zimbabwe (A World of Wonders): A rhetorical analysis of the world’s country tourism slogans

2018· article· en· W2807760289 on OpenAlex
Michael W. Lever, Rumaila Abbas

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

VenueJournal Of Vacation Marketing · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsRhetorical questionTourismPolysemyLogos Bible SoftwareThematic analysisDestinationsSemioticsAdvertisingPolitical scienceSociologyMarketingQualitative researchSocial scienceBusinessLinguisticsArtLiterature

Abstract

fetched live from OpenAlex

Despite a large focus on polysemy and rhetorical figures in brands and logos, there is much less research on slogans in marketing literature in general and virtually no studies that relate slogans to tourism destinations using a similar methodology. The purpose of this qualitative study is to examine the tourism slogans of the countries in the world using a combination of semantic evaluation methods, including rhetorical analysis, semiotics, and thematic reviews. Results suggest dominant themes of comparing and contrasting with other regions and countries, heavy use of metaphors and dramatic portrayals, anthropomorphized country traits, and individuality along with overarching concepts of the self. Implications for destination marketing practitioners and future research are also discussed.

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)0.002
metaresearch head score (Gemma)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.288
Teacher spread0.256 · 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