Bibliographic record
Abstract
Abstract Militarism – a mercurial, endlessly contested concept – is experiencing a renaissance of sorts in many corners of the social science community. In critical security studies, the concept’s purview has become increasingly limited by an abiding theoretical and analytical focus on various practices of securitization. We argue that there is a need to clarify the logic and stakes of different forms of militarism. Critical security scholars have provided valuable insights into the conditions of ‘exceptionalist militarism’. However, if we accept that militarism and the production of security are co-constitutive, then there is every reason to consider different manifestations of militarism, their historical trajectories and their interrelationships. To that end, we draw on the work of historical sociologists and articulate three more ideal types of militarism: nation-state militarism, civil society militarism and neoliberal militarism. We suggest this typology can more adequately capture key transformations of militarism in the modern period as well as inform further research on the militarism–security nexus.
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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.008 |
| Science and technology studies | 0.006 | 0.046 |
| Scholarly communication | 0.014 | 0.022 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.003 | 0.004 |
| 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".