Lobbying Disclosure: Observations on Lobbyists' Compliance with New Disclosure Requirements
Bibliographic record
Abstract
A letter report issued by the Government Accountability Office with an abstract that begins "The Honest Leadership and Open Government Act (HLOGA) of 2007 amends the Lobbying Disclosure Act of 1995 by doubling the frequency of lobbyists' reporting and increasing criminal and civil penalties. This is GAO's first report in response to the Act's requirement for GAO to annually (1) determine the extent to which lobbyists can demonstrate compliance with the Act by providing support for information on their registrations and reports, (2) describe challenges identified by lobbyists to complying with the Act, and (3) identify the process for referring cases to the Department of Justice and the resources and authorities available to effectively enforce the Act. GAO reviewed a random sample of 100 reports filed by lobbyists during the first quarter of calendar year 2008. This methodology allowed GAO to generalize to the population of 17,801 reports filed. GAO also met with lobbyists regarding their filings and with Department of Justice officials regarding resources and authorities"
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 | 0.017 | 0.115 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".