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Record W2910126761 · doi:10.16967/rpe.v5n2a5

Promoción de destinos turísticos a través de las series audiovisuales. El caso de Juego de Tronos

2018· article· es· W2910126761 on OpenAlexaff
Esther G. González, Noelia Araújo Vila

Bibliographic record

VenueRevista Perspectiva Empresarial · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicDiverse Aspects of Tourism Research
Canadian institutionsCentre Intégré de Santé et de Services Sociaux des Laurentides
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

La presente investigación muestra la importancia que puede tener el sector audiovisual como herramienta promocional del sector turístico, por ello se analiza un caso concreto de actualidad, la serie Juego de Tronos, con el objetivo de conocer de qué manera influye sobre los destinos que sirvieron de escenario para su rodaje. La metodología empleada es la técnica cualitativa de análisis de contenido, a través de la cual se analizan cuarenta y cinco webs oficiales de destinos turísticos. Los resultados obtenidos permiten extraer como conclusiones finales que se están creando productos turísticos relacionados con la serie, y en algunos destinos se utiliza como instrumento de promoción turística; aun así, no se están aprovechando la totalidad de los beneficios que la serie podría aportar al destino turístico

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)0.004
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.025
GPT teacher head0.377
Teacher spread0.352 · 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; both teacher heads agree on what is shown here.

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

Citations4
Published2018
Admission routes1
Has abstractyes

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