The National Security State and the Tech City: Social Structures of Militarisation in Seattle's Long Cold War
Bibliographic record
Abstract
Abstract Integration between the American state and technology capital has deep roots in the military‐industrial complex that has structured the US geopolitical economy since World War II. This article makes the case for understanding the urban‐regional dimensions of technology capital in terms of a transformation of, rather than as a departure from, Cold War geopolitics. It introduces the concept of a social structure of militarisation to analyse the transition from military‐Keynesianism to tech‐oriented militarism, developing this concept through a case study of high‐tech firms in the Seattle region. Our analysis shows how the class dynamics that underpinned the growth of Seattle's “high‐tech” aerospace sector in the postwar period conditioned the subsequent growth of the information and biotechnology sectors. Like other tech cities, Seattle's economy remains a privileged site of technical and managerial labour within the extended US national security state.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| 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".