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Record W4412641075 · doi:10.22487/ruang.v19i1.224

Pengembangan Pariwisata Dengan Pendekatan Community Based Tourism (CBT) Di Desa Wera, Kecamatan Pamona Puselemba, Kabupaten Poso

2025· article· en· W4412641075 on OpenAlexaff
Ricky Yohanes Kaliey, Deltri Dikwardi Eisenring, Lutfi Lutfi, Sarifuddin Sarifuddin, Burhanuddin Burhanuddin

Bibliographic record

VenueRUANG JURNAL ARSITEKTUR · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTourismGeographyArchaeology

Abstract

fetched live from OpenAlex

This research aims to formulate a sustainable tourism development strategy involving the community of Wera Village. The research employed a mixed-methods approach to understand the village's potential and tourist needs. The research results are outlined in four main strategies: (1) optimizing natural potential as the main attraction, (2) improving the quality and quantity of supporting tourism facilities, (3) utilizing digital technology for more effective promotion, and (4) empowering the community through training and active participation in management. Based on the research results, several strategic steps are recommended. First, the local government needs to allocate sufficient funds for the development of tourism infrastructure and facilities. Second, continuous training programs must be implemented to enhance the community's capacity in managing the tourism sector. Third, comprehensive regulations are needed to regulate tourism activities and protect the environment. Finally, increasing public awareness of the importance of environmental sustainability and culture, as well as their active participation in tourism management, is essential.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.253
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.304
Teacher spread0.279 · 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 teacher head, not a consensus.

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
Published2025
Admission routes1
Has abstractyes

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