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Record W7155578766

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

2025· other· en· W7155578766 on OpenAlex
Karla Camila Rivero Gómez, Madelín Virgen Proenza Rodríguez, Nolberto Cruz Aguilera, Orlando Cedeño Almaguer, Geydis Driggs Rodríguez

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueScientific Electronic Library Online (Scientific Electronic Library Online) · 2025
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsTourismOrder (exchange)AnimationIdentification (biology)Process (computing)Plan (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Abstract: 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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.609
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0040.004
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0080.011
Science and technology studies0.0040.004
Scholarly communication0.0060.008
Open science0.0080.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0190.001

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 head0.009
GPT teacher head0.244
Teacher spread0.235 · 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