Environmental justice and project development : the Sri Lankan experience
Bibliographic record
Abstract
Despite large contributions from academia, there is a significant lack of indicators against which to measure environmental injustice, particularly with regard to project development in developing countries such as Sri Lanka. Indicators and methodological approaches that have been developed and are being used in the West are mostly irrelevant since the types of environmental injustices experienced in the two regions are different. This study presents an "environmental justice matrix", a tool consisting of selected indicators that represent a variety of issues that have the potential to cause environmental injustice and that are encountered during the different phases of project development in Sri Lanka. The matrix is designed to evaluate the degree of environmental injustice that may arise during project development and should serve to keep environmental justice front and centre of every stage of the project, especially during the assessment and decision making processes. The value of this tool is illustrated by assessing two large infrastructure projects against the matrix.
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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 | 0.024 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.018 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.018 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".