Dual use solar surfaces for local grids and net zero development
Bibliographic record
Abstract
Legacy approaches to energy management and distribution are ill suited to solar power. The history of hydro, nuclear and coal offer little to guide contemporary photovoltaics infrastructure deployment. Putting gigawatts of solar panels on the cheapest available real estate will have lasting negative consequences: new approaches are needed to avoid unnecessary, undesirable and both predictable and unpredictable environmental, social and economic side effects.Rather than taking over productive farmers' fields with gigawatt scale solar plantations that unbalance grids and introduce new transmission needs, the many sunny surfaces proximal to load should be pressed into dual-use: efficient pavement integrated photovoltaics (PIPV) avoid misappropriation of real-estate, do not affect current use or aesthetics of surfaces and require no transmission lines. We call this dual-use of high value real estate surface solar, and demonstrate the opportunity for superior IRR over traditional deployment.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".