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Record W1944595163 · doi:10.22500/sodality.v2i2.9417

PELUANG USAHA SERTA KERJA AKIBAT KEHADIRAN WISATAWAN PADA KOMUNITAS TUGU

2015· article· id· W1944595163 on OpenAlexaff
Melly Amalia, Titik Sumarti

Bibliographic record

VenueSodality Jurnal Sosiologi Pedesaan · 2015
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesGeographyArt

Abstract

fetched live from OpenAlex

Kehadiran wisatawan Arab di Tugu adalah untuk mengisi waktu luang mereka. Tanpa disadari, kehadiran wisatawan Arab dalam masyarakat Tugu memiliki dampak pada peluang bisnis dan peluang kerja di masyarakat pedesaan. Kondisi ini menimbulkan pertanyaan penelitian, seperti 1) bagaimana kehadiran wisatawan Arab di Tugu Desa, 2) apa perubahan dalam aktivitas mata pencaharian ke commnity Tugu. Tujuan dari penelitian ini adalah untuk mengidentifikasi peluang bisnis dan peluang kerja di masyarakat pedesaan, karena kehadiran turis Arab, seiring dengan perkembangan industri pariwisata. Responden terdiri dari aparat desa, tokoh masyarakat dan anggota masyarakat Tugu. Data dikumpulkan dengan melakukan wawancara mendalam dan observasi. Lokasi penelitian di Desa Tugu Cisarua sub, Kabupaten Bogor - Jawa Barat. Data yang terkumpul dianalisis dengan menggunakan metode kualitatif. Pada akhirnya, Hasil penelitian menunjukkan bahwa kehadiran Arab Tourist memberikan peluang usaha dan lapangan kerja, mengakibatkan perubahan tingkat ekonomi di masyarakat. Kata kunci: dampak ekonomi, peluang bisnis, peluang kerja, wisata

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.053
Threshold uncertainty score0.153

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0460.009

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 head0.076
GPT teacher head0.332
Teacher spread0.256 · 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 designQualitative
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

Citations6
Published2015
Admission routes1
Has abstractyes

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