Border Security: Consular Identification Cards Accepted within United States, but Consistent Federal Guidance Needed
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "Several state and local government agencies and financial institutions accept consular identification (CID) cards, which are issued by foreign governments to their citizens living abroad. Mexico issued more than 2.2 million CID cards in 2002-2003 and Guatemala issued approximately 89,000 from mid-2002 to 2003. Critics of CID cards say their acceptance facilitates the unlawful stay within the United States of undocumented aliens and may provide opportunities for terrorists to remain undetected in this country. GAO examined (1) the purpose of a CID card and how Mexican and Guatemalan CID cards are being used in the United States, (2) steps Mexico and Guatemala have taken to verify the identities of CID card applicants and incorporate security features in CID cards now used in the United States, and (3) the positions and policies of federal agencies regarding CID cards."
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 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 | 0.006 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.199 | 0.231 |
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".