PENGARUH INFRASTRUKTUR TERHADAP PERTUMBUHAN EKONOMI INDONESIA
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.
Bibliographic record
Abstract
The disparity on per capita income is evident between Java and outside Java in Indonesia. This paper confirms this evidence using σ-convergence statistic. Furthermore, this paper identify the determinant of per capita income by adopting the Solow growth model and β-convergence model. The result emphasize confirms the availability of basic infrastructure including electricity, road and sea transport are a necessary condition to gain high and sustainable growth. In addition, the result shows the existence of β-convergence, which represents the pace of regions with lower per capita income catching up other regions with higher per capita income, in Indonesia with 1,75% speed of convergence; or equivalent with half-life of 41.14 years. Furthermore, the openness will increase the region’s productivity due to higher technology spillover. Keywords: σ-convergence, β-convergence, Solow growth model, income distribution, Gini coefficient,disparity.JEL Classification: O47, O11, O18, R11
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 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it