Post-political uncertainties: Governing nuclear controversies in post-Fukushima Japan
Bibliographic record
Abstract
This article examines a set of public controversies surrounding the role of nuclear power and the threat of radioactive contamination in a post-Fukushima Japan. The empirical case study focuses on the Ministry of Economy, Trade and Industry (METI), Japan's most influential ministry and, more importantly, the former regulator of nuclear energy before the 2011 Fukushima nuclear disaster. Through participant observation of METI's public conferences, as well as interviews with state and non-state actors, I examine how particular visions of nuclear power continue to affect the basis of expert authority through which state actors handle post-Fukushima controversies and their subsequent uncertainties. In its post-Fukushima representations, METI frames nuclear power as an apolitical necessity for the well-being of the Japanese nation-state and the common humanity. It does so by mobilizing categories of uncertainty around specific political scenes, such as global warming. For METI, the potential uncertainties linked with the abandonment of nuclear power have the power to trigger political turmoil of a higher scale than those linked with Fukushima's radioactive contamination. A form of double depoliticization takes place, in which the issue of Fukushima's radioactive contamination gets depoliticized through perceived priorities that are paradoxically depicted as 'post-political' - that is, in an urgent need for immediate action and not open to in-depth deliberation. I refer to this process as establishing 'post-political uncertainties'. This kind of depoliticization raises ethical questions surrounding meaningful public participation in decisions that happen at the intersection of politics and science and technology study.
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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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.023 | 0.026 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.003 | 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".