Assessing Stakeholder Collaboration and Participation in Spatial Planning: A Case Study of Talang Kelapa Urban Area, South Sumatera, Indonesia
Bibliographic record
Abstract
The comprehensive spatial planning is a complex long-term plan prepared to achieve sustainable urban growth.To strive for an optimal drafting process, the level of participation and collaboration of each stakeholder element must be measured to avoid potential problems among stakeholders in the future.The present study aims to assess the process of stakeholder collaboration and participation in spatial planning for the Talang Kelapa urban area, Banyuasin Regency, South Sumatra Province, Indonesia.The research was conducted by qualitative interviews followed by the Structural Equation Model (SEM) to analyze the main indicators of collaboration and the level of participation of the stakeholders involved.Furthermore, Confirmatory Factor Analysis is used to measure the level of validity and reliability of each indicator used.The results of the study show that nine indicators determine the success of the participation and collaboration during spatial planning, namely (1) the history of collaboration, (2) the existence of collaborative groups on the environmental dimension, (3) mutual understanding (in the dimension of member characteristics), (4) flexibility (in the dimensions of structure and process), (5) communication intensity (in the communication dimension), (6) goal achievement, (7) shared vision (in the goal dimension), (8) adequacy of funds, and (9) human resource improvement (in the resource dimension).The level of participation and collaboration of stakeholders in the studied area is in the medium category meaning that the relationship between each stakeholder is still formal and has not occurred optimally.The results could be a first step to figure out where the participation and collaboration between stakeholder and optimally conduct the suggested model to perform spatial planning.The aim is to make the best spatial planning and avoid the future problem in Talang Kelapa.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".