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Record W4396901579 · doi:10.47637/pkmcendekia.v2i1.924

PEMBERDAYAAN DALAM MENINGKATKAN PROSES PENDIDIKAN, KEAGAMAAN, PERTANIAN, DAN PETERNAKAN SEBAGAI PENGABDIAN MASYARAKAT DESA RATU ABUNG

2023· article· id· W4396901579 on OpenAlexaff
Ade Rusdianto, Awanda Febriani, Rina Karwanti, Sri Handayani Marganingsih, Sutikno, Nyang Vania Ayuningtyas Harini

Bibliographic record

VenuePengabdian Kepada Mayarakat Cendekia. · 2023
Typearticle
Languageid
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusiness

Abstract

fetched live from OpenAlex

Kuliah Kerja Nyata (KKN) telah dilaksanakan di Desa Ratu Abung, Kecamatan Abung Selatan, Kabupaten Lampung Utara selama 32 Hari dimulai pada tanggal 31 Januari sampai dengan 3 Maret 2023. Desa Ratu Abung merupakan desa yang dipilih menjadi desa tujuan KKN. Potensi desa yang berlimpah menjadi pilihan Mahasiswa untuk dapat melaksanakan program meningkatkan mutu pendidikan, keagamaan, pertanian, peternakan, ekonomi dan kesehatan setempat. Program-progarm dirancang berurutan mulai dengan diskusi antar kelompok KKN, aparat desa, serta masyarakat setempat, khususnya yang bersinggungan langsung dengan program-program yang dirancang. Pelaksanaan program KKN dilakukan secara seimbang diawali dengan perencanaan, pelaksanaa, serta evaluasi di akhir setiap program. Hasil yang dicapai dari keseluruhan program KKN diantaranya Sosialisasi, Kunjungan, Pengajian, Mengajar Les, Mengajar Ekskul, Sosialisasi dan Praktikum Pembuatan Pupuk kompos dan pakan ternak.

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)0.003
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, Insufficient 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 score0.531
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.003
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.006
Science and technology studies0.0060.002
Scholarly communication0.0040.003
Open science0.0040.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.007

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 head0.030
GPT teacher head0.281
Teacher spread0.251 · 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
Published2023
Admission routes1
Has abstractyes

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