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Record W3091722551 · doi:10.29244/medkon.25.2.124-133

PENILAIAN KELAYAKAN EKOWISATA KARST CIBADAK DI KECAMATAN CIAMPEA KABUPATEN BOGOR

2020· article· id· W3091722551 on OpenAlex
Ratna Sari Hasibuan, Ken Dara Cita

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

VenueMedia Konservasi · 2020
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsKarstGeographyEnvironmental scienceArchaeology

Abstract

fetched live from OpenAlex

Kawasan Karst Cibadak perlu dilakukan penilaian kelayakan ekowisata untuk mengetahui apakah kawasan ini layak dikembangkan atau tidak. Tujuan penelitian adalah menilai kelayakan ekowisata Karst Cibadak terutama area eksokarst yang ada di Desa Cibadak. Metode penelitian adalah deskriptif dengan menggunakan analisa penskoringan Daya Tarik Wisata Alam (DTWA). Hasil penelitian meunjukkan bahwa kawasan Karst Cibadak layak dikembangkan sebagai daerah tujuan ekowisata dengan nilai 77,87%. Daya tarik wisata alam di kawasan Karst Cibadak antara lain: wisata tracking, wisata edukasi dan camping ground. Daya Tarik wisata budaya di kawasan Karst Cibadak yaitu adanya bekas peninggalan Kerajaan Siliwangi. Kawasan ini perlu ditambahkan atraksi wisata lain seperti pengamatan flora dan fauna karst, outbond, penelusuran gua, pengamatan fauna gua agar meningkatkan nilai kelayakan Karst Cibadak. 
 
 Kata kunci: daya tarik wisata alam, karst Cibadak, kelayakan

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.048
GPT teacher head0.271
Teacher spread0.223 · 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