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Record W4412408968 · doi:10.57213/abdimas.v8i2.321

PEMBERDAYAAN MASYARAKAT DAN MAHASISWA DALAM PENGEMBANGAN EKOWISATA MANGROVE KLAWALU BERBASIS KONSERVASI LINGKUNGAN

2025· article· id· W4412408968 on OpenAlexaff
Murni Murni, La Ibal, Rahful A. Madaul, Ummi Hanifah Marshush, Hilmi Hilmansyah, Azalia Fajri Yasin, Nurbia Nurbia, Azwar Rahmatullah, Nur Abu, Fathur Rahman Buatan

Bibliographic record

VenueJurnal Pengabdian Masyarakat Kesosi · 2025
Typearticle
Languageid
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMangroveGeographyEcology

Abstract

fetched live from OpenAlex

Kawasan Ekowisata Mangrove Klawalu di Kota Sorong, Papua Barat Daya, memiliki potensi ekologis dan ekonomi yang tinggi, namun menghadapi berbagai tantangan seperti pencemaran sampah dan rendahnya partisipasi masyarakat dalam pelestarian lingkungan. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kesadaran dan pemahaman masyarakat serta mahasiswa mengenai pentingnya konservasi mangrove dan pengembangan ekowisata berkelanjutan. Melalui pendekatan partisipatif, kegiatan dilakukan dalam bentuk sosialisasi, pelatihan, dan praktik langsung di lapangan, yang melibatkan mahasiswa, masyarakat lokal, dan instansi pemerintah. Evaluasi melalui pre-test dan post-test menunjukkan peningkatan signifikan dalam pengetahuan peserta. Diskusi kelompok dan praktik penanaman mangrove juga memperlihatkan antusiasme dan komitmen peserta dalam mendukung konservasi lingkungan. Kegiatan ini berhasil membangun sinergi antara akademisi, masyarakat, dan pemerintah, serta menjadi model pengembangan ekowisata berbasis konservasi yang dapat direplikasi di wilayah lain.

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)0.007
metaresearch head score (Gemma)0.002
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), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.567
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.004
Science and technology studies0.0070.002
Scholarly communication0.0020.002
Open science0.0050.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0010.001

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 head0.016
GPT teacher head0.289
Teacher spread0.273 · 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 designObservational
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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