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Record W4313635431 · doi:10.35327/gara.v16i2.336

PARADOKS PEMEKARAN WILAYAH (STUDI PEMEKARAN DESA DALAM KONTEKS UU DESA DI KABUPATEN LOMBOK TIMUR)

2022· article· en· W4313635431 on OpenAlex
LALU MUH. KABUL

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

VenueGANEC SWARA · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Governance and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsFragmentation (computing)GeographyContext (archaeology)SocioeconomicsQualitative analysisPolitical scienceQualitative researchSociologySocial scienceArchaeology

Abstract

fetched live from OpenAlex

The previous studies on regional fragmentation showed that the condition of new region is not better than old one. This study described paradox of regional fragmentation (village) compared to the previous studies. The study method used is mixed methods, namely quantitative and qualitative. The result of study showed that based on “Status IDM” in context of Village Law it is found three village categories in East Lombok District, namely developing village, advanced village, and self reliance village. In the context of regional fragmentation, it is more new village that experienced “Status IDM” increased than old one. Meanwhile, that result of study showed the paradox, it meant that condition of new village is better than old one

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, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.023
GPT teacher head0.279
Teacher spread0.256 · 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