Practices, knowledge, and concerns for out-of-home firearm storage among those with access to firearms: results from a survey in two states
Bibliographic record
Abstract
BACKGROUND: Temporary, voluntary storage of firearms away from the home is a recommended option for individuals with risk of suicide, but it may also be used in other situations (e.g., long trips). Prior work has explored the availability of storage options and the views of storage locations. Little is known about out-of-home storage practices among those who live in homes with firearms (including owners). METHODS: We surveyed English-speaking adults (18 or older) in two states (Colorado and Washington) living in a home with a firearm (June-July 2021). RESULTS: Among the final sample of 1029, most respondents were white (88.1%) and non-Hispanic (85.0%); half were female (50.8%), and the most common age group was ages 35-44 (25.5%). Just over one quarter (27.3%) of respondents indicated they had stored a firearm away from their home/car/garage in the last 5 years. The place most respondents said they were somewhat or very likely to consider was at a family members home (62.7%) or at a self-storage facility (52.5%). CONCLUSION: Out-of-home firearm storage is a relatively common practice and endorsed by many gun-owners, suggesting out-of-home storage is feasible for firearm owners as an approach to suicide prevention.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".