Private security and national security: The case of Estonia
Bibliographic record
Abstract
Most studies of private security postulate exclusively internal, primarily economic, causes of the industry's growth and regulation. In contrast, based on the case of post-Soviet Estonia, we investigate how a state's external security environment influences private security. Estonia's tense relations with neighbouring Russia and related pursuit of EU and NATO membership have generated several policies through which private security evolved from a lawless, politically contested industry to a modest, lightly regulated one: (1) the exclusion of public police from private security and an effective campaign against organized crime that together enabled an autonomous and non-criminalized security industry to emerge, (2) free-trade policies that permitted western companies to acquire Estonian security firms, and (3) an 'all-of-nation' approach to national security that promotes comprehensive state-civil society security cooperation. Estonia thus clarifies how high politics shapes private security, while also revealing the factors that make the industry relatively uncontentious in most industrialized democracies.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".