We have never not been fascist: Infrastructures of state violence as technofascist laboratories
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This commentary critiques narratives of Silicon Valley exceptionalism in current efforts to diagnose technofascism. The rapid global spread of fascism has not been initiated by the current American Right, nor does the technological character of this iteration of fascism present a rupture: fascist conditions have continuously existed for peoples colonized, enslaved, indentured, exterminated, or otherwise oppressed by Western imperialism since the beginning of modernity/colonialism. Likewise, surveillance and calculative technologies-from paper to digital-have always been central in inflicting violence on these peoples because they solve issues of scale in necropolitical population control: from biometrics to track fugitive slaves, over census technologies to control and eradicate colonized peoples, to surveillance infrastructures of apartheid, to now algorithmic war machines. Now more than ever, it is urgent that we recognize that the structural conditions of this iteration of fascism have been created by modernity/coloniality and racial capitalism, and that the potential of technofascism lies in the bureaucratic-legal and calculative nature of the modern state.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 it