Stage of Takeoff Based on Rostow's Theory for the Role of Manufacture of Non-metals, Except Petroleum and Coal Manufacture to the Economic Increase
Bibliographic record
Abstract
This study aims to know the effect of Manufacture of Non Metalic, Except Petroleum & Coal and Manufacture of Basic Metals to the Economic Growth based on Stage of Takeoff on Rostow's Theory. Type of research is Causal Design approach. Type of data is secondary data from Government Statistics Agency Republic of Indonesia period in years 2000 until 2015. The method of analysis used Smart PLS software. The Findings of this research are Manufacture of Non Metalic, Except Petroleum & Coal and Manufacture of Basic Metals variables influence to the Economic Increase. The Impact of this study is not analyzed with the approach of data pooling and cross section model so that the coefficients of each equation can be known each year so it can be known which has a big influence on Economic Increase. This research has implications for the government to provide facilities and facilities to investors who want to enter in the field of Manufacture of Non-Metalic, Except Petroleum & Coal and Manufacture of Basic Metals.The value of this research has a good value because it is measurement from 2000 until 2015 periods.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 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 source (direct Gemma or distilled Codex), 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".