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Record W4400204220 · doi:10.46918/point.v6i1.2301

Optimalisasi Peran Daerah Tujuan Guna Mendukung Peningkatan Ekonomi Dan Status Perkembangan Kawasan Transmigrasi

2024· article· id· W4400204220 on OpenAlexaff
Irfan Priyadi

Bibliographic record

VenuePoint Jurnal Ekonomi dan Manajemen · 2024
Typearticle
Languageid
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Capaian status perkembangan pada 152 kawasan transmigrasi belum mengalami peningkatan yang signifikan. Hasil evaluasi tahun 2023, dari 52 kawasan prioritas nasional didapatkan persentase kawasan transmigrasi prioritas nasional yaitu; 5,76% kawasan berdaya saing, 65,38% kawasan mandiri, dan 28% kawasan berkembang. Sedangkan 100 kawasan prioritas Kementerian didapatkan kawasan transmigrasi prioritas Kementerian yaitu; 0% kawasan berdaya saing, 23% kawasan mandiri, dan 77% kawasan berkembang. Olehnya, perlu dilaksanakan langkah-langkah konkrit untuk meningkatkan ekonomi dan status perkembangan kawasan transmigrasi baik dari keselarasan regulasi, dukungan pemerintah daerah serta sinergi dan kolaborasi antar pemangku kepentingan. Revisi atas lampiran Undang-undang 23 tahun 2014 tentang Pemerintahan Daerah adalah langkah tepat agar selaras dengan Undang-Undang 29 tahun 2009 tentang Ketransmigrasian untuk memberi peran dan ruang gerak pemerintah daerah yang lebih luas dalam mengembangkan wilayah yang merata dan berkeadilan.

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.

How this classification was reachedexpand

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
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.628
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0010.002
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 head0.024
GPT teacher head0.233
Teacher spread0.208 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

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