Bibliographic record
Abstract
We live in an era of overlapping states of exceptions: the climate and ecological emergency, the permanent crisis of global capitalism, the migration crisis, the COVID-19 pandemic. Relying on the Hungarian political regime, this paper investigates how and why exceptional measures restructure our life. It can be argued that the main outcome of the exceptional measures is the rise of a new executive power, and it is demonstrated how heavily authoritarian regimes rely on the state of exception. It has been argued here that behind the strengthening of the emergency power there is the new rise of unlimited executive power, which is nothing more than the legal and political fulfilment of two-thirds majority power. Upon the case of the permanent state of exception of the Orbán regime, it can be said that the COVID-19 as an epidemiological crisis cannot be traced back to the Orbán administration, but the executive power has found a way to create a new political crisis based on the epidemic. The paper briefly discusses the impact of the 2022 Hungarian national election campaign period and the Russian aggression against Ukraine in February 2022 on the Hungarian emergency powers.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| 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".