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Record W4313293565 · doi:10.5614/wpar.2022.20.2.04

IDENTIFIKASI TAHAPAN PENGEMBANGAN COMMUNITY BASED TOURISM DAN KERJASAMA ANTAR KOMUNITAS PADA DESA WISATA KEMBANG KUNING DAN TETEBATU NTB

2022· article· id· W4313293565 on OpenAlexaff
Annisa Lazuardina, Shabrina Amalia Ghassani, Lalu Syafril Rahmadio, Zaki Alif Ramadhani

Bibliographic record

VenueWarta Pariwisata · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsCommunity Based Research Centre
Fundersnot available
KeywordsHumanitiesTourismGeographyArt

Abstract

fetched live from OpenAlex

Lombok merupakan Destinasi Super Prioritas pengembangan oleh Kementrian Pariwisata. Program Desa Wisata juga menjadi prioritas lainnya dalam mengembangkan sebuah destinasi agar masyarakatnya dapat memiliki penghasilan tanpa bermigrasi ke daerah lain. Desa Wisata Kembang Kuning dan Tetebatu merupakan desa yang menjadi percontohan dan sama-sama memiliki pintu masuk ke Gunung Rinjani dan Air Terjun Sarang Walet. Sistem yang digunakan oleh kedua Desa Wisata tersebut merupakan bottom-up sehingga kesadaran masyarakat akan pariwisata sudah tumbuh dan dikembangkan dengan baik. Mulai dari pengelolaan homestay, BumDes dan juga koordinasi antar komunitasnya sudah baik. Pada penelitian ini, tahapan desa wisata tersebut akan di identifikasi menggunakan teori Community Based Tourism hingga menilai dampak serta efektifitas desa wisaata tersebut. Dengan adanya penghargaan kepada Desa Wisata Tetebatu dari UNWTO sebagai Best Tourism Village menjadikan penelitian ini patut dilakukan karena tahapan yang telah dilakukan bisa terekam dan menjadi best practice bagi desa yang mau mengembangkan konsep desa wisata menggunakan Community Based Tourism.

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)0.015
metaresearch head score (Gemma)0.002
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)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.002
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0230.002
Scholarly communication0.0010.001
Open science0.0070.006
Research integrity0.0010.008
Insufficient payload (model declined to judge)0.0020.000

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 head0.039
GPT teacher head0.287
Teacher spread0.248 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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