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Pembaharuan Data Profil Desa Bumirejo Sebagai Dasar Menetapkan Sasaran Program Pembangunan Desa

2023· article· en· W4390239919 on OpenAlex
Rohmat Junarto, M. Nazir Salim, Harvini Wulansari

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 Inovasi Pengabdian Masyarakat Pendidikan · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsCharacter (mathematics)HAMLET (protein complex)Government (linguistics)Service (business)NarrativeLibrary scienceSociologyGeographyComputer scienceBusinessArtLinguisticsLiteratureMathematics

Abstract

fetched live from OpenAlex

The rural development process in Indonesia ideally translates village character and responds to community needs. However, some of these villages have not prepared and updated village profile data based on real-world conditions in order to provide a complete picture of the village's character. The purpose of this paper is to photograph the development of Bumirejo Village so that it can be used to set development program targets and assess the effectiveness of village development. This community service activity employs qualitative methods. Data collection techniques such as observational studies and in-depth interviews and data analysis employs narrative analysis. As part of the village government, this activity resulted in a village profile book containing basic family data, potential, and regional development of each hamlet.

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)0.004
metaresearch head score (Gemma)0.001
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0040.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.003

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 head0.155
GPT teacher head0.414
Teacher spread0.259 · 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