Sharing Bank Deposit Information With Other Countries: Should Tax Compliance or Privacy Claims Prevail?
Bibliographic record
Abstract
A proposed regulation issued as one of the final acts of the Clinton Administration would have required U.S. banks to routinely file with the IRS reports identifying nonresident alien individuals receiving payments of interest and the amount of such interest. U.S. bank deposit interest paid to nonresident aliens is exempt from U.S. tax, and previously only payments to Canadians were required to be reported to the IRS. Intense opposition to this regulation was expressed by bankers and other organizations, such as the Center for Freedom and Prosperity, as well as by Governor Jeb Bush of Florida (where bank deposits are held by many residents of Latin America). This opposition led the Bush Administration to withdraw the proposed regulation but to replace it with a similar proposed regulation applicable only to residents of 16 countries (12 member countries of the European Union, as well as Canada, Australia, New Zealand, and Norway). While the new proposed regulation has also attracted fierce opposition, the Bush Administration has continued to defend it (but has not yet finalized it).
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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 | 0.032 | 0.094 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.016 | 0.014 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.018 | 0.009 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".