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Proposal for creative tourism activities to diversify offerings at Grand Memories Holguín Hotel

2025· article· en· W4412718662 on OpenAlexaboutno aff
Karla Camila Rivero Gómez, Nolberto Cruz Aguilera, Orlando Cedeño Almaguer, G. Rodríguez

Bibliographic record

VenueRevista interamericana de ambiente y turismo · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCruise Tourism Development and Management
Canadian institutionsnot available
Fundersnot available
KeywordsTourismBusinessMarketingHistoryArchaeology

Abstract

fetched live from OpenAlex

The recreational offerings within the hotel are crucial for achieving customer satisfaction and setting the hotel from competitors.Therefore, it is essential to plan animation activities creatively and innovatively in order to diversify the tourist offerings and adapt them to the changing needs of the market.The objective of this article is to propose creative tourism activities to enhance the offerings at the Grand Memories Holguín hotel.The methodology used in the paper includes tools such as documentary review, direct observation, brainstorming, checklists and identification of strengths and weaknesses.The results highlight challenges in the hotel's animation process despite an overall positive image.Additionally, creative tourism activities have been suggested to diversify the hotel's offerings and cater to the needs of the main market segments: Canadian and Cuban-American clients.It is recommended to implement the proposal, conduct a feasibility analysis, allocate necessary resources, monitor activities and identify areas for improvement.

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)0.008
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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.011
GPT teacher head0.303
Teacher spread0.292 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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