PENGARUH INDEKS PEMBANGUNAN MANUSIA TERHADAP KETIMPANGAN WILAYAH DI PROVINSI JAMBI
Bibliographic record
Abstract
Indeks Pembangunan Manusia (IPM) merupakan indikator kualitas pembangunan daerah dengan mengukur kesejahteraan masyarakat dari dimensi pendapatan, pendidikan dan kesehatan. Setiap pilihan kebijakan yang diambil suatu daerah akan mempengaruhi hasil pembangunan daerah tersebut Masalah pokok yang menjadi titik tolak penelitian ini adalah pengaruh nilai IPM terhadap ketimpangan wilayah antar daerah di Kabupaten/ Kota dalam Provinsi Jambi.. Kondisi ketimpangan antar wilayah diukur dengan menggunakan Indeks Williamson. Tujuan penelitian yaitu untuk mengetahui pengaruh IPM terhadap ketimpangan wilayah di Provinsi Jambi. Metode penelitian menggunakan pendekatan kuantitatif dengan analisis statisik regresi data panel dengan metode PCSE menggunakan aplikasi program STATA. Data yang digunakan adalah data sekunder berupa data Ketimpangan wilayah, IPM, PDRB harga konstan dan government size pada 11 Kabupaten/ Kota yang ada di Provinsi Jambi sejak tahun 2013 sampai 2017. Hasil analisa menggunakan regresi data panel diperoleh yaitu peningkatan IPM akan mereduksi ketimpangan wilayah, sedangkan peningkatan PDRB dan government size mempengaruhi peningkatan ketimpangan wilayah. Kata Kunci : IPM; Ketimpangan Wilayah; Government Size; PCSE;
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".