Mobility and the Model: Policy Mobility and the Becoming of Israeli Homeland Security Dominance
Bibliographic record
Abstract
Israel's dominant position within the homeland security (HLS) and counterterrorism field is now quite widely acknowledged within academic literature and beyond. While existing accounts of Israel's HLS industry have made a number of critical contributions to understanding its rise, they fail to readily address how Israeli HLS approaches have come to be understood as mobile and universal strategies to be applied worldwide. They also negate the extent to which Israel's security ‘solutions’ are (re)invented as they move geographically. I argue that Israeli claims to HLS dominance are realized through their encounters beyond Israel/Palestine in ways that stabilize their practices and technologies as global exemplars. Building on policy mobilities scholarship, I suggest that bound up with the development of an Israeli HLS ‘model’ is the constitution of an audience, which is central to giving these approaches their global appeal and respective political force. In developing these claims I explore the role of geographical imaginations in the constitution of mobilities and argue for the need to move from a framework of discourse to one of performativity.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.043 |
| Scholarly communication | 0.013 | 0.010 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".