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Record W4312726177 · doi:10.18196/ppm.26.530

Peningkatan Pemahaman Sistem Budidaya Pertanian Di Lahan Sempit Perkotaan

2021· article· id· W4312726177 on OpenAlex
Lis Noer Aini, Gunawan Budiyanto

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

VenueProsiding Seminar Nasional Program Pengabdian Masyarakat · 2021
Typearticle
Languageid
FieldAgricultural and Biological Sciences
TopicAgricultural Development and Management
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsForestryHorticultureBiologyGeography

Abstract

fetched live from OpenAlex

Kotagede merupakan kawasan dengan kepadatan penduduk cukup tinggi. Akibatnya, lahan ruangterbuka juga terbatas, termasuk lahan yang dapat digunakan untuk budidaya tanaman. Muhammadiyahmerupakan salah satu organisasi sosial kemasyarakata yang berkembang di Kotagede. Pengabdianmasyarakat yang dilakukan untuk memberikan pemahaman kepada organisasi otonomi di bawahPimpinan Cabang Muhammadiyah Kotagede dalam memanfaatkan lahan sempit perkotaan dalamrangka budidaya tanaman yang bermanfaat pada lahan sempit. Metode yang dilakukan adalah denganmelakukan penyuluhan. Hasil analisis menunjukkan bahwa pengetahuan masyarakat sebelumdilakukannya penyuluhan sebesar …. Setelah dilakukan sosialisasi tentang budidaya tanaman padalahan sempit dan pemanfaatannya, pengetahuan masyarakat mengenai hal tersebut meningkat menjadi100%.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.569
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.023
GPT teacher head0.244
Teacher spread0.221 · 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