Compensating communities to reduce resistance\nto energy infrastructure development. ESRI Research Bulletin, 2018/01
Bibliographic record
Abstract
Ireland has ambitious plans to reduce the level of greenhouse gases emitted from\nelectricity generation by increasing the amount of power that is generated from\nrenewable technologies. Doing so will require a significant expansion of wind\nfarms, and an accompanying expansion of the electricity transmission network\n(the “grid”). Previous analyses that we have conducted have shown that Irish\nresidents are generally favourably disposed towards further development of\nrenewable generation technologies; however, in practice, planners and policy\nmakers are frequently met with objections from local communities to specific\nsiting proposals. Community resistance to electricity infrastructure development\ncan result in unhappy residents, frustrated planners, and project delays. In this\nresearch we consider a range of procedures that could be adopted in order to\ninvolve local communities in these projects. Such procedures may potentially\nreduce resistance amongst local communities.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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; both teacher heads agree on what is shown here.
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".