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Record W2911872533 · doi:10.1177/1362480618822832

How gun control policies evolve: Gun culture, ‘gunscapes’ and political contingency in post-Soviet Georgia

2019· article· en· W2911872533 on OpenAlexaff
Matthew Light, Eugene Slonimerov

Bibliographic record

VenueTheoretical Criminology · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicGun Ownership and Violence Research
Canadian institutionsUniversity of Toronto
FundersYale University
KeywordsPoliticsGun controlState (computer science)Political scienceHarmPolitical economyDeterrence theoryLawSociology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.132
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.030
GPT teacher head0.331
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2019
Admission routes1
Has abstractyes

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