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Record W4407167740 · doi:10.61511/esgsb.v1i2.2024.1325

Mekarsari village towards sustainable tourism village: A literature review

2024· review· en· W4407167740 on OpenAlexaff
Zamroni Zamroni, Bayu Karunia Putra, Noviana, Inayatul Izzati, Yayuk Nurhidayatul Laili, Dinatul Aini, Muhammad Hamdani, Patin Hafifah, Siti Nurjannah, Hilma Aprilia, Md. Saiful Islam, Satriawan Arya Saputra

Bibliographic record

VenueEnvironmental, Social, Governance, and Sustainable Business · 2024
Typereview
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsTourismSustainable tourismGeographyEnvironmental planningBusinessArchaeology

Abstract

fetched live from OpenAlex

Background: A tourism village is a rural area designed or developed as a tourist destination by utilizing diverse local potentials. These potentials may include natural beauty, culture, traditions, handicrafts, cuisine, and local community activities that attract tourists. A tourism village serves as a place for recreation, education, and sustainable development of the local economy. Findings: [a] Empowering local communities: Active involvement of local communities is essential to maintaining the sustainability of tourism villages. Empowered communities can take a leading role in managing tourism activities, such as tour guides, homestay operators, or local artisans. Training programs and capacity-building initiatives are often vital to help communities adapt to tourists' needs while preserving their cultural identity. [b] Preservation of local culture: Sustainable tourism villages support the preservation of cultural heritage, such as traditions, arts, and local crafts. This creates a unique attraction for tourists while safeguarding local culture from extinction. Practices such as routine cultural performances, traditional festivals, and the promotion of local products are essential strategies. [c] Environmental conservation: Proper waste management, such as recycling systems or reducing plastic waste. Use of renewable energy, like solar panels or micro-hydro systems. Protection of local ecosystems, such as forests, rivers, or coral reefs. Methods: The method used is a literature review through a research approach conducted by collecting, analyzing, and evaluating relevant literature on a specific topic, based on scientific journals, books, conference proceedings, reports, and articles. Conclusion: [a] Empowering local communities: Sustainable tourism villages prioritize the involvement of local communities as the main actors in tourism management. This includes participation in planning, management, and benefiting from tourism activities. [b] Environmental conservation: In sustainable tourism villages, the use of natural resources is regulated to avoid damaging ecosystems. Waste management, the use of renewable energy, and the protection of biodiversity are essential components. [c] Economic sustainability: Tourism villages should create stable and equitable economic opportunities, including generating new jobs, supporting micro, small, and medium enterprises (MSMEs), and promoting village economic growth without overexploiting local resources. [d] Preservation of culture and traditions: Sustainable tourism villages protect and promote local culture and traditions, making them a key attraction while maintaining the identity of the local community. [e] Multi-stakeholder collaboration: Sustainable tourism villages require support from various stakeholders, including government, private sectors, academics, and the community, to ensure effective management and development.

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)0.002
metaresearch head score (Gemma)0.004
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: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0140.016
Science and technology studies0.0020.001
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.286
Teacher spread0.274 · 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
GenreReview

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
Published2024
Admission routes1
Has abstractyes

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