Sustainability Indicators for Community Enterprises Producing Renewable Energy in Thailand
Bibliographic record
Abstract
This study aims to propose sustainability indicators for community enterprises producing renewable energy in Thailand by applying the Sustainability Balanced Scorecard (SBSC) as a conceptual framework. The literature review, a survey of the community enterprise producing renewable energy, and the assessment by eighteen experts and academics were able to summarize nineteen sustainability indicators for community enterprises producing renewable energy in Thailand which could be divided into six perspectives: (1) financial perspective of three indicators (2) stakeholder perspective of three indicators (3) internal process perspective of five indicators (4) learning and growth perspective of two indicators (5) social perspective of two indicators (6) environmental perspective of four indicators. Community enterprises producing renewable energy in Thailand can use these sustainability indicators to set their operational goals or management plans. In addition, government sector and related agencies are able to use the sustainability indicators as guidelines for the formulation of appropriate policies or measures to jointly develop and support community enterprises producing renewable energy in Thailand to self-reliance and achieve more sustainable success, affect strengthening the grassroots economy, reducing the negative social and environmental impacts of non-renewable energy production and use, increasing energy security.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".