The Social Costs of Gun Ownership: Gun Control Policy and Crime
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper investigates the impact of gun control legislation on the homicide rate across two countries -the US and Canada.The Brady Act from the US creates the national background check system we use today, while the Firearms Act from Canada starts a new national background check system along with labeling certain guns as "restricted" or "banned" for civilian purchase 12 .For each of these policies, I created a regression that predicts the state's or province's homicide rate based on the policy, year, alcohol consumption, police per capita, and many demographic variables to measure the policy's short-term and long-term impact on the firearm homicide rate.Based on these regressions, both acts significantly decreased firearm homicides in the long-term, but the Brady Act had a bigger impact in relation to the current firearm homicide rate at the time.Therefore, the Brady Act was more effective than the Firearms Act.One main future direction with this research is to analyze homicides caused by other means during the same timeframe.Additionally, since firearm homicides significantly decreased with these acts, it would be valuable to know if firearm suicides also decreased. II.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it