Weaponized flux: Reflexive control and the struggle against digital authoritarianism
Bibliographic record
Abstract
Digital authoritarianism hinges on algorithmic regimes that turn instability into controlled flux: perpetual recategorization that steers behavior and fuels predictive governance. Paradoxically, these same reflexive loops contain their own undoing: when flooded with structured, self-referential contradictions, adaptive classifiers collapse into recursive failure. This essay unpacks the algebraic mechanics of Lefebvre's reflexive control theory and demonstrates how its processes can be repurposed as a counter-flux insurgency, collapsing predictive governance from within by targeting its classification loops rather than merely injecting noise. Building on Cheney-Lippold's work on algorithmic governance, we argue that flux here is harnessed, rather than resisted, to weaponize uncertainty, shape predictable reactions, consolidate power, and ultimately enable digital authoritarian governance.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| 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".