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Record W3046525706 · doi:10.32585/ijecs.v1i1.779

Pendampingan Perhitungan Analisa Revitalisasi Lapangan Desa Masaran Kecamatan Masaran Kabupaten Sragen

2020· article· en· W3046525706 on OpenAlex
Sumina Sumina, Herman Susila

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIJECS Indonesian Journal of Empowerment and Community Services · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsEngineering

Abstract

fetched live from OpenAlex

Desa Masaran merupakan salah satu desa di wilayah Kecamatan Masaran, Kabupaten Sragen, Jawa Tengah. Desa Masaran merupakan wilayah yang berada pada lokasi yang sangat strategis sebagai titik pertemuan jalur mobilisasi barang dan manusia. Desa Masaran memiliki potensi berupa lapangan desa. Aset tersebut sangat potensial karena berada pada tanah terbuka yang cukup luas di tengah wilayah yang semakin rapat. Sehingga perlu ada optimalisasi potensi tersebut agar dapat memberikan manfaat bagi masyarakat dan lingkungan. Guna mengoptimalkan dan mencapai hal tersebut maka tim pengabdian masyarakat akan melakukan pendampingan dalam hal merencanakan analisa biaya untuk merevitalisasi lapangan Desa Masaran. Berdasarkan hasil pendampingan dapat diketahui bahwa besarnya dana untuk merevitalisasi lapangan Desa Masaran adalah sebesar Rp 2.338.900.000,00. Hasil analisa biaya tersebut untuk selanjutnya dapat digunakan untuk mencairkan dana desa yang telah ada dan juga dapat berfungsi sebagai dasar dalam mencari donatur untuk menyukseskan revitalisasi lapangan tersebut.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.288
Teacher spread0.249 · 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