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Record W4322711659 · doi:10.34013/barista.v9i01.623

Keterlibatan Masyarakat dalam Mendukung Program Desa Wisata

2022· article· id· W4322711659 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBarista Jurnal Kajian Bahasa dan Pariwisata · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

Kurang aktifnya Kelompok Sadar Wisata (Pokdarwis) menjadi suatu permasalahan yang terjadi pada beberapa desa wisata. Hal ini dapat mengakibatkan kurangnya keterlibatan masyarakat dan kurang maksimalnya manfaat yang didapatkan dalam mengelola desa wisata. Penelitian ini bertujuan untuk mengidentifikasi produk wisata di desa wisata serta sejauh mana keterlibatan masyarakatnya dalam mendukung kegiatan pariwisata. Metode penelitian yang digunakan yaitu kualitatif deskriptif dengan fokus pada keterlibatan masyarakat dalam mendukung program desa wisata. Analisis yang digunakan untuk mengolah data hasil temuan adalah analisis Tourism Area Life Cycle (TALC) dan pemetaan pemangku kepentingan (stakeholders). Penelitian ini menunjukkan informasi seputar produk wisata serta keterlibatan masyarakat dalam mengolah produk yang sudah dimiliki, agar dapat mendukung jalannya desa wisata. Didapati juga kedudukan masyarakat dan Pokdarwis sebagai pemangku kepentingan berada pada posisi subjects yang mana memiliki kepentingan tinggi tetapi pengaruhnya rendah. Penelitian ini memberikan implikasi untuk meningkatkan keterlibatqan masyarakat dalam aktivitas pariwisata.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.676
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0100.002
Scholarly communication0.0020.001
Open science0.0050.004
Research integrity0.0000.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.300
Teacher spread0.275 · 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