MétaCan
Menu
Back to cohort

KONDISI SOSIAL EKONOMI NELAYAN DI DESA BULAWAN II, KECAMATAN KOTABUNAN, KABUPATEN BOLAANG MONGONDOW TIMUR

2019· article· id· W2965028556 on OpenAlexaff
Djirhan Mokoagow, Srie J. Sondakh, Martha P. Wasak

Bibliographic record

VenueAKULTURASI (Jurnal Ilmiah Agrobisnis Perikanan) · 2019
Typearticle
Languageid
FieldEnvironmental Science
TopicMarine and Coastal Ecosystems
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

AbstrakTujuan dari penelitian ini adalah untuk mengetahui kondisi sosial dan ekonomi nelayan di Desa Bulawan II Kecamatan Kotabunan Kabupaten Bolaang Mongondow Timur. Jenis penelitian ini adalah deskriptif, dimana penelitian bersifat deskriptif merupakan penelitian yang bertujuan untuk mengungkapkan suatu kenyataan sosial dengan jalan mendeskripsikan secara tepat sifat-sifat individu, keadaan, gejala, kelompok tertentu berkenaan dengan masalah unit yang diteliti dalam masyarakat. Populasi dalam penelitian ini adalah nelayan penangkap ikan di Desa Bulawan II, Kecamatan Kotabunan Kabupaten Bolaang Mongondow Timur. Berdasarkan pengamatan awal jumlah populasi nelayan yang ada di Desa Bulawan II sebanyak 23 orang. Sampel yang diambil sebesar 20% atau sebanyak 20 orang dengan menggunakan metode pengambilan secara acak sederhana atau simple random sampling. Keberadaan nelayan di Desa Bulawan II sampai saat ini belum banyak diberitakan baik berupa tulisan-tulisan ilmiah maupun penelitian-penelitian, bacaan-bacaan berbentuk artikel dan lain sebagainya, sehingga perlu adanya penelitian yang mengungkapkan tentang keadaan kondisi sosial ekonomi nelayan.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.012

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 head0.006
GPT teacher head0.194
Teacher spread0.188 · 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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueAKULTURASI (Jurnal Ilmiah Agrobisnis Perikanan)Same topicMarine and Coastal EcosystemsFrench-language works237,207