Managing decline: Devaluation and just transition at Diablo Canyon nuclear power plant
Bibliographic record
Abstract
This paper examines the shifting fortunes of the Diablo Canyon Nuclear Power Plant in California to better understand how asset owners are dealing with an increasingly-significant problem in changing energy landscapes: the devaluation of large fixed capital assets. In 2016, Pacific Gas and Electric Company announced a Joint Proposal to retire the Diablo Canyon plant by 2025, the result of a negotiated compromise with labor unions, environmental and community groups. Heralded by many commentators as a model for “just transitions” in the energy sector, this agreement has lately been called into question as new subsidies and political coalitions have emerged to support for the plant's continued operation. This paper investigates the political and economic conditions for the Joint Proposal as an example of “negotiated devaluation,” aiming to understand why and how this strategy took shape, and what lessons it offers for other transition processes. Linking literatures on just transitions and devaluation in the energy sector, we show how negotiated devaluation may offer an emerging strategy for owners of energy assets to manage decline in a changing energy landscape. The case also demonstrates the political contingency of these coalitions and the transitions they subtend, and the limited dimensions of justice that might be affirmed in them.
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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".