Enhancing urban ecosystem services: A stakeholder-centric analysis of green supply chain management and urban forest management quality in Palangka Raya
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
This quantitative study employs Structural Equation Modeling (SEM) to investigate the intricate relationships between stakeholder participation, green supply chain management, urban forest management quality, and ecosystem service quality in Palangkaraya, Indonesia. Survey data collected from stakeholders engaged in urban forest management and environmental conservation efforts were subjected to Confirmatory Factor Analysis (CFA) to validate the measurement model. Path Analysis was then conducted to explore direct and mediated effects, with a focus on the mediating role of urban forest management quality as assessed through SEM. The findings reveal significant positive relationships between stakeholder participation, green supply chain management, urban forest management quality, and ecosystem service quality. Notably, urban forest management quality emerges as a mediator between stakeholder participation and ecosystem service quality, as well as between green supply chain management and ecosystem service quality. This study contributes to the empirical understanding of urban environmental management dynamics, offering insights that can inform policy and practice for promoting environmental sustainability and enhancing ecosystem service provision in Palangkaraya.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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