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Record W4389265165 · doi:10.33795/jpkm.v10i2.3058

Pelatihan Dan Pemasangan Running Text Untuk Mushola Di RT. 06 RW. 04 Dampit Kabupaten Malang

2023· article· id· W4389265165 on OpenAlexaff
Rhezal Agung Ananto, Muhammad Fahmi Hakim, Masramdhani Saputra, Asfari Hariz Santoso, Aly Imron

Bibliographic record

VenueJurnal Pengabdian Polinema Kepada Masyarakat · 2023
Typearticle
Languageid
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Program pengabdian pada masyarakat ini adalah Pelatihan Dan Pemasangan Runing Text Untuk Mushola Di Rt. 06 Rw. 04 Dampit Kabupaten Malang. Tepatnya di mushola yang digunakan warga untuk sholat 5 waktu, sholat tarawih, sholat idul adha dan beberapa kegiatan pengajian untuk warga di RT. 06 RW.04 Dampit Kabupaten malang. Pengabidan pada masyarakat ini dilakukan selama delapan bulan. Yang terlibat dalam PPM ini adalah politeknik negeri malang dan mushola RT.06 RW.04 Dampit Malang. Tujuan dari PPM ini untuk memberikan solusi dari beberapa permasalahan yang ada. Permasalahn yang ada antara lain Masih belum adanya runing text yang digunakan untuk waktu sholat, dan keterangan untuk membantu kenyamnaan saat melaksanakan ibadah sholat dan pengajian. Dan Adanya masyarakat yang belum paham tentang cara pengporasian runing text untuk mushola. Solusi yang ditawarkan tentang rencana kegiatan yang diusulkan adalah memberikan pelatihan pengoprasian perlatan yang dihibahkan berupa runing text untuk mushola.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.453
Threshold uncertainty score0.780

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.4530.268

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 head0.019
GPT teacher head0.243
Teacher spread0.225 · 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.

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
Published2023
Admission routes1
Has abstractyes

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