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Record W3083472007 · doi:10.5430/rwe.v11n5p177

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

2020· article· en· W3083472007 on OpenAlexvenueno aff
Iskandar Muda, Nurlina Nurlina, Erlina Erlina, Tengku Erry Nuradi

Bibliographic record

VenueResearch in World Economy · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsnot available
Fundersnot available
KeywordsCoalPetroleumGovernment (linguistics)PoolingPetroleum engineeringValue (mathematics)Agency (philosophy)EngineeringEconomicsOperations managementEnvironmental economicsWaste managementComputer scienceMathematicsStatisticsChemistry

Abstract

fetched live from OpenAlex

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.603
Threshold uncertainty score0.674

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.038
GPT teacher head0.275
Teacher spread0.237 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations3
Published2020
Admission routes1
Has abstractyes

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