Pentahelix Model for Eco-Industrial Development: A Collaborative Policy Approach
Bibliographic record
Abstract
Currently, industrial sector has been facing challenges in terms issues where the industrial activities impact the environment.The industrial sector in Ngawi Regency is one of the sectors that contributes the fourth largest to the region's economy.This study identifys the factors that influence industrial sectors namely the aspects of revenue growth, sales growth, and production growth by using multiple linear regression analysis and applying Pentahelix Model as a collaboration model towards eco-industrial development.The findings of the study revealed the variables which significantly influenced the aspect of revenue growth namely raw material, capital, and infrastructure.The production growth is affected by raw materials, capital, marketing, production, and institutional.Supported by the result of industrial development factors, Pentahelix synergy is expected to be applied in the practice of ecoindustrial development based on the roles of each actor in Pentahelix.
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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 | 0.000 |
| 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 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".