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Record W2794879416 · doi:10.26877/e-dimas.v9i1.2255

Meningkatkan SDM Masyarakat Melalui Pelatihan Pambyawara di Pawiyatan Mangesti Budoyo dan Pawiyatan Manunggal Makarti Mulyo Desa Makamhaji Kartasura Sukoharjo

2018· article· id· W2794879416 on OpenAlexaff
Dian Esti Nurati, Joko Pramono

Bibliographic record

VenueE-Dimas Jurnal Pengabdian kepada Masyarakat · 2018
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesArtPhysics

Abstract

fetched live from OpenAlex

Pendidikan non formal terutama Pusat Kegiatan Belajar masyarakat (PKBM) yang berada di wilayah Desa Makamhaji, dua di antaranya adalah Pawiyatan Pambyawara atau Pembawa Acara Mangesti Mulyo yang berlokasi di RW. 14 dan Pawiyatan Manunggal Makarti Mulyo yang berada di lingkungan RW. 15. Pawiyatan ini didirikan oleh tokoh-tokoh masyarakat di lingkungan kedua Rukun warga tersebut sekitar tahun 2000 yang lalu, hingga sampai sekarang telah berjalan selama kurang lebih 15 tahun. Masing-masing pawiyatan diikuti setiap angkatan kurang lebih 20 sampai dengan 30 warga masyarakat. Hasil survei di lapangan menunjukkan bahwa pada umumnya masyarakat kelurahan Makamhaji utamanya warga masyarakat di RW. 14 serta RW. 15, sangat mencintai budaya lokal khususnya budaya Jawa di bidang Pambyawara atau Pembawa Acara berbahasa Jawa dengan tata bahasa yang halus (kromo inggil) yang pada awalnya telah sejak lama diajarkan kepada para siswa yang mengikuti pelatihan (gladen) di Keraton Kasunanan Surakarta. Berdasarkan pada materi pelatihan di bidang Pambyawara, Macapat, dan Ngadi Busana yang selama ini secara sederhana telah dilakukan secara rutin, dengan dilakukannya kegiatan IbM ini mampu memberikan peningkatan kualitas materi pelatihan sehingga bermanfaat bagi para peserta pelatihan utamanya masyarakat di wilayah kegiatan IbM ini dilaksanakan. Harapan selanjutnya adalah agar masyarakat setempat mampu memiliki pengetahuan serta keterampilan tersebut secara profesional, sehingga pada akhirnya mampu dipergunakan sebagai profesi yang meningkatkan status sosial dan ekonomi yang bersangkutan.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0230.005

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 head0.034
GPT teacher head0.299
Teacher spread0.265 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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