Preliminary Development of Indicators for Assessing the Sustainability of Indonesia’s Natural-Dye-Based Batik Industry
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
Indonesia’s batik industry is growing rapidly, including the segment specializing in natural dyes. However, this has produced concerns regarding sustainability deriving from, for example, the use of environmental pollutants in the field. This research aims to propose a set of preliminary indicators to facilitate the assessment of the sustainability of the natural-dye-based batik industry. We selected Batik Preketek, a company in Pekalongan City, Indonesia, as a case study and received support from representative panellists who were knowledgeable on these issues. We employed a mixed-methods approach, with data collected from field observations, laboratory analyses, structured and semi-structured interviews and secondary sources. The validated indicators were then applied to assess the current sustainability of batik production. The indicators used included five indicators from the environmental dimension, four from the economic dimension and six from the social dimension. Assessment of the company’s sustainability level produced a score of 77.50, indicating that it could be categorized as sustainable. The instrument developed was proved capable of capturing major sustainability issues and delivering prioritized strategies to improve sustainability.
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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 | 0.001 |
| 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 it