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Record W4312506230 · doi:10.18196/ppm.42.773

Pemberdayaan Lembaga Pendidikan Al-Qur'an di Kecamatan Turi Sleman dalam Persiapan Supervisi Tingkat Regional

2022· article· id· W4312506230 on OpenAlexaff
Anisa Dwi Makrufi, Yusuf Abdul Hasan, Fajar Nur Khakimi

Bibliographic record

VenueProsiding Seminar Nasional Program Pengabdian Masyarakat · 2022
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Character Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhysicsArt

Abstract

fetched live from OpenAlex

Tujuan dari program pengabdian ini yaitu untuk meningkatkan pengetahuan dan keterampilan bagi pengurus TKA-TPA dalam menjalankan proses KBM baca tulis Al-Qur’an yang sesuai dengan standar. Beberapa luaran yang ditargetkan dalam program pengabdian ini yaitu draft artikel ilmiah yang siap submit di jurnal bereputasi, konferensi pada kegiatan seminar hasil pengabdian masyarakat, publikasi di media massa, dan dokumentasi video kegiatan pengabdian yang diunggah di youtube. Adapun metode yang akan dilakukan dalam program ini adalah: 1) mengadakan FGD dengan anggota mitra; 2) memberikan penyuluhan dan pelatihan terkait kegiatan supervisi; 3) pendampingan dalam persiapan pelaksanaan program supervisi khususnya di wilayah Badko Rayon Turi. Program Pengabdian kepada Masyarakat ini akan dilakukan selama tiga bulan dengan melibatkan sumber daya manusia yang dirancang sesuai kepakaran yang dibutuhkan. Tim pengusul terdiri atas dosen bidang Pendidikan, Manajemen Dakwah, dan Al-Islam Kemuhammadiyahan

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.162
Threshold uncertainty score0.542

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1620.044

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 head0.050
GPT teacher head0.335
Teacher spread0.285 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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