Tax Administration: Changes to IRS's Schedule K-1 Document Matching Program Burdened Compliant Taxpayers
Bibliographic record
Abstract
A letter report issued by the General Accounting Office with an abstract that begins "About $1 trillion in income was distributed in 2001 by flow-through entities such as partnerships and trusts. These entities do not pay taxes on flow-through income. They report it to the Internal Revenue Service (IRS) on a Schedule K-1 and their partners or beneficiaries pay any tax. Concerned about underreporting, IRS began matching the flow-through income reported on Schedule K-1s with that reported on individuals' returns. In 2002, IRS began sending notices to taxpayers about suspected noncompliance. After complaints that many notices were going to compliant taxpayers, IRS stopped sending notices. Concerned about the burden, Congress asked GAO to, among other things, (1) describe the burden caused by the notices and IRS's rationale for stopping them, (2) assess IRS's management of the program, and (3) describe the steps IRS will take to address any problems."
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 | 0.012 | 0.038 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.054 | 0.044 |
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".