How gun control policies evolve: Gun culture, ‘gunscapes’ and political contingency in post-Soviet Georgia
Bibliographic record
Abstract
We analyse the influence of gun culture and exogenous political events on gun regulation in post-Soviet Georgia. While neighbouring states retain restrictive Soviet-era gun laws, in Georgia, state failure, armed conflict and proliferation of weapons during the 1990s all impelled recent governments towards moderate gun policies, including liberal rules on handgun ownership, strict rules on gun carriage and a national gun registry. We conceptualize gun policy as the product of relatively durable institutional legacies and underlying social attitudes—in this case, a distinctive post-communist ‘gunscape’—which constrain future policy development; and specific political conjunctures, which provide opportunities for limited policy experimentation. While Georgian gun owners desire weapons for self-defence, sport and the affirmation of masculinity, they do not seek to defy the state or replace its role in collective security, leading to a moderate ‘harm reduction’ approach to regulation that may be applicable in other post-conflict societies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".