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Record W4410759984 · doi:10.54082/jamsi.1644

Pelatihan Digitalisasi Data Pertanahan bagi Pemerintah Kalurahan Pampang, Kapanewon Paliyan, Kabupaten Gunungkidul

2025· article· id· W4410759984 on OpenAlex

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

VenueJurnal Abdi Masyarakat Indonesia · 2025
Typearticle
Languageid
FieldComputer Science
TopicInformation Retrieval and Data Mining
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

Pemerintah Kalurahan mempunyai peran penting dalam membantu dan melayani administrasi pertanahan tetapi masih menghadapi kendala digitalisasi data. Data-data yang terdapat di Pemerintah Kalurahan masih bentuk cetak dan disimpan dengan cara manual. Data yang dimiliki oleh Pemerintah Kalurahan tidak pernah diperbarui. Permasalahan ini yang menjadi dasar program pemberdayaan masyarakat yang bertujuan untuk meningkatkan kapasitas aparatur Kalurahan Pampang dalam mengelola data pertanahan secara digital melalui pendekatan Participatory Action Research. Kegiatan dilakukan melalui pelatihan digitalisasi data, pendampingan teknis, serta evaluasi keberhasilan program. Hasil kegiatan menunjukkan peningkatan pemahaman aparatur tentang sistem informasi pertanahan serta penerapan sistem digital dalam pengelolaan data. Program ini berdampak pada peningkatan kesiapan kalurahan dalam mendukung kebijakan nasional terkait pengelolaan pertanahan digital.

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), Scholarly communication, Open science, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0030.008
Open science0.0070.005
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.037
GPT teacher head0.288
Teacher spread0.252 · 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