Forensic, Social and Criminal Law Regulation of ATF Operation: Applicable Provisions for Record-Keeping, Investigation and Registration
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
For some time, the Bureau of Alcohol, Tobacco, Firearms and Explosives (ATF) DOI 10.32370/IA_2019_12_20 923(g)(1)(B)). ATF is also authorized to inspect inventory and records by securing from a Federal magistrate judge a relevant warrant (18 U.S.C. 923(g)(1)(A)). Customs officers may also inspect any firearms or related articles imported or exported from the U.S. Limitations on the rights of certain persons, associated with manufacturing, importing and dealing in firearms in the United States. Provisions of the Gun Control Act (GCA) stipulate that it is unlawful for certain categories of persons to ship, transport, receive or possess firearms (18 U.S.C. 922(g)). It is also unlawful to sell or otherwise dispose of firearms to the persons (18 U.S.C. 922(d)): who are under indictment for a crime punishable by imprisonment for a term exceeding one year; who have been convicted of a crime punishable by imprisonment for a term exceeding one year; who are fugitives from justice; who are unlawful users of or addicted to any controlled substance; who are illegally or unlawfully in the United States; who have been discharged from the Armed Forces under dishonorable conditions; who, having been a citizen of the United States, have renounced their citizenship; who are subject to a court order that restrains such person from harassing, stalking, or threatening an intimate partner of such person or child of such intimate partner or person, or have been convicted of a misdemeanor crime of domestic violence (as stipulated by the Omnibus
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.
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 | 0.000 |
| 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 | 0.001 |
| 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