Contentious politics in environmental assessment: blocked projects and winning coalitions
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
Environmental assessment (EA) is now institutionalized in over 100 countries but is widely criticized by practitioners and analysts for failing to convince decision-makers. Environmental sustainability is still not placed high on the list of criteria influencing project and programme approvals. This paper suggests that the failure of EA reflects the politically contested domain of EA. A framework for the analysis of public participation in EA based on the study of contentious politics is introduced. Public participation is a crucially important condition for influencing decision makers to pursue sustainability objectives, but the effectiveness of public participation is conditional upon characteristics of the coalitions created by diverse stakeholders. The importance of coalitions between local stakeholders and intellectuals is highlighted and exemplified through four cases in the Philippines, Brazil, South Africa and Taiwan where public participation in EA processes is associated with the blockage of large-scale development projects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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