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Record W7055515407

Componentes de competitividad turística en los museos del distrito de Barranquilla

2020· article· en· W7055515407 on OpenAlexaboutno aff

Bibliographic record

VenueDSPACE System - Metalibrary (University of the Coast) · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsTourismWork (physics)Order (exchange)Cultural tourismAdaptation (eye)
DOInot available

Abstract

fetched live from OpenAlex

The research aims to analyze the components of tourism competitiveness in the museums of the Barranquilla District, considering their potential as promoters of culture and tourism in order to highlight the problems they face. The sample was made up of 7 controlled museums in the Barranquilla District, applying an adaptation of the Calgary Model by Ritchie & Crouch (2003) (2003), of tourist competitiveness. The results indicate that in the museums of the Barranquilla District the components of tourism competitiveness are in a neutral position, where it is highlighted that most of these have the necessary infrastructure to provide a pleasant experience to their visitors, but it is necessary to strengthen the cultural offer where museums are exposed, that public policies include and support these institutions and lastly, involve them in the cultural marketing that the Barranquilla District currently enjoys. Based on the information found, guidelines and recommendations are proposed aimed at promoting museums and their work in elements of tourism competitiveness.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score0.366

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0010.002
Research integrity0.0000.000
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 head0.008
GPT teacher head0.184
Teacher spread0.176 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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Same venueDSPACE System - Metalibrary (University of the Coast)Same topicMagnetic confinement fusion researchFrench-language works237,207