Bibliographic record
Abstract
This article considers the development of the liberal state’s approach to national security in the era of the ‘war on terror’. The analysis focuses on state security strategies, considering how the state positions the politics of security historically through its representation of the current security ‘environment’. Drawing upon a critical analysis of the various layers of official strategy produced by the UK, US and Australia in this era, the article considers in the first instance the process of depoliticisation that defines the official understanding of security threats. The effects of depoliticising the issues and individuals deemed to constitute a threat to national security are subsequently considered through the theory of pacification plotting the links between securitization, depoliticisation and pacification. In doing so the analysis demonstrates how the framing of national security is pivotal to the official representation of ‘extremism’ and to the subsequent policing of protest and political activity. The article therefore suggests that the liberal state’s politics of security are defined by a pacification process that seeks to produce citizen-subjects who are unable and unwilling to resist the current social order.
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.
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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.067 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".