The World Bank - Environment and Social Framework: Expectations and Realities of Implementing Environmental and Social Safeguards in Infrastructure Projects in Indonesia
Bibliographic record
Abstract
Climate change is a result of the environmental degradation due to human activities and has the potential to become a climate disaster that threatens human life and causes social problems. Through the ESF, World Bank expect that infrastructure development can go hand in hand with environmental and social safeguards. To obtain information about the level of satisfaction of the performance of this ESF indicator, this study was conducted using the Importance Performance Analysis method to compare the expectations and the realities of the performance of the critical ESF indicators in Indonesia. The study involved 80 respondents of infrastructure project actors in Indonesia and found that 40% of the ESF indicators had performed well and met their expectations. Meanwhile, three indicators were inefficient or the performance exceeded the expectations, namely ESS6.3, ESS2.3 and ESS6.1. ESS7.2 and ESS8.1. This study is expected to contribute to developing a standardized and integrated ESF in Indonesia. Furthermore, the results of this study can be used as a consideration in further research, especially the use of the ESF variables as a moderator in modeling project social conflict.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 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".