Pengaruh Angkatan Kerja dan Investasi terhadap Produk Domestik Regional Bruto di Provinsi Lampung
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
This study aims to determine the impact of employment, open unemployment, and domestic investment on the economic growth of Lampung Province in Indonesia. The research sample consisted of data from Lampung Province in the first quarter of 2010 to the fourth quarter of 2022. The data source was obtained from the Central Bureau of Statistics of Lampung. Regression analysis using EViews 10 was used to analyze secondary data and time series in this study. This study used a quantitative descriptive approach, which proved to be the most effective method. The results of the study show that the variables of labor, open unemployment, and domestic investment have a significant influence on economic growth. This research is a valuable reference and provides insight for further exploration, helping to understand the impact of employment, open unemployment, and domestic investment on economic growth in Lampung Province.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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