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Record W4401777990 · doi:10.24014/jej.v4i1.32022

Strategi Pemberdayaan Masyarakat dalam Mengurangi Kemiskinan Ekstrem Melalui Pariwisata Berkelanjutan (Studi Kasus Tanjung Kasuari Kota Sorong)

2024· article· id· W4401777990 on OpenAlexaff
Murni Murni, Masniar Masniar, Nur Wahidah A.K, Azwar Rahmatullah

Bibliographic record

VenueEL-JUGHRAFIYAH · 2024
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness administrationSociologyPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Pembangunan pariwisata yang berkelanjutan sangat penting untuk diterapkan karena menurut paradigma pembangunan berkelanjutan didasari perjalanan pelaksanaan pembangunan yang semakin tidak terkontrol dalam sebuah negara serta memberi peluang yang besar bagi pembangunan nasional dan memberikan dampak positif bagi pembukaan lapangan pekerjaan baru dan peningkatan kesejahteraan ekonomi sehingga diharapkan terjadi penanggulangan kemiskinan ekstrem pada tahun 2024 mencapai 0 persen serta terciptanya masyarakat mandiri dan sejahtera. Pada penelitian ini menggunakan pendekatan AHP. Hasil penelitian menunjukkan Pemberdayaan masyarakat dalam mengurangi kemiskinan ekstrem melalui pariwisata berkelanjutan nilai konsistensinya yaitu 0,0085. Hal ini menunjukan bahwa keputusan yang di ambil oleh para responden menunjukan skala prioritas cukup konsisten. Melalui penerapan strategi-strategi dengan dukungan pemerintah setempat dalam hal Pemerintah Kota Sorong diharapkan masyarakat setempat dapat memperoleh manfaat secara ekonomi, sosial, maupun lingkungan yang berkelanjutan dari sektor pariwisata dengan memperkuat peran serta masyarakat serta peningkatan daya tarik dan daya dukung destinasi pariwisata dapat menciptkan lingkungan yang mendukung dalam pengurangan kemiskinan ekstrem.

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)0.006
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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.674
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
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 science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.018
GPT teacher head0.313
Teacher spread0.295 · 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
Published2024
Admission routes1
Has abstractyes

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