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Record W4411839769 · doi:10.5614/wpar.2025.23.1.03

INTEGRASI KAWASAN PARIWISATA KOTAWARINGIN BARAT, SUKAMARA, DAN LAMANDAU (KOBARSULAM) MELALUI PENGEMBANGAN JALUR WISATA TEMATIK

2025· article· id· W4411839769 on OpenAlexaff
Abadi Raksapati, Mohammad Zaini Dahlan, Endy Endy

Bibliographic record

VenueWarta Pariwisata · 2025
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPsychology

Abstract

fetched live from OpenAlex

Pariwisata yang dibangun di Kawasan Kotawaringin Barat, Sukamara dan Lamandau (Kobarsulam) saat ini belum dilakukan secara terintegrasi dan saling mendukung. Kotawaringin Barat sebagai pintu masuk wisatawan dan destinasi pariwisata utama kawasan belum mampu menyebarkan kunjungan wisatawan dan manfaat pariwisata yang dimilikinya ke daerah sekitarnya. Upaya untuk mengintegrasikan pembangunan pariwisata di Kobarsulam harus melibatkan seluruh pemangku kepentingan pariwisata yang ada. Salah satu strategi yang dapat didorong dalam membangun integrasi pariwisata di Kobarsulam adalah dengan mengembangkan jalur wisata yang mengaitkan tema serta cerita berbagai daya tarik wisata yang ada di seluruh kawasan. Berdasarkan kajian sekurang-kurangnya ada sembilan jalur wisata tematik yang dapat dikembangkan, yaitu jalur wisata tematik Bertamu ke Rumah Orang Utan Kalimantan, Susur Sungai Kalimantan, Jejak Sejarah Kesultanan Kutaringin, Eksotisme Budaya Dayak, Jelajah Peradaban Pesisir Selatan Kalimantan, Even Pariwisata, Jelajah Hutan Tropis Kalimantan, Rekreasi Air, dan Kuliner Khas Kobarsulam.

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)0.008
metaresearch head score (Gemma)0.004
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.003
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0050.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.001

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 head0.019
GPT teacher head0.303
Teacher spread0.284 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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