Imagining how U.S. federalism would affect third-party funding regulation
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
Abstract Third-party funding is a global phenomenon, although regulatory enforcement is local. Regulatory approaches vary widely from country to country and within countries, especially in federal legal systems, such as Canada, Australia, and the United States. In Canada, the federal government has not regulated funding at all. In Australia, after a period of state- and province-based experimentation, the highest court took the lead on legalization and instructed the Australian Securities and Investments Commission (ASIC) to license funders at the federal level and promulgate guidelines regarding avoiding conflicts of interest. The U.S. federal government is learning about third-party funding with an eye toward potential future regulation. Congress has been investigating funding, as evidenced by testimony in congressional hearings, proposed federal legislation, and a nonpartisan study on third-party funding by the Government Accountability Office. In addition, the U.S. Federal Civil Rules Advisory Committee has considered changing the Federal Rules to address third-party funding and recently formed a committee to consider the question further. The U.S. federal government is taking these steps against a patchwork quilt of regulations in various U.S. states regarding third-party funding along a broad spectrum with many conflicting regulations. This Article explores how federalism affects third-party funding in the U.S. Specifically, it explores the likely effects of third-party funding regulation at the federal level, state level, or both, including examining significant benefits and concerns. Moreover, it predicts whether the U.S. federal government will regulate third-party funding and, if so, how. Finally, this Article does not present a normative argument but rather is a thought experiment that presents various benefits and drawbacks that the U.S. federal government should consider when deciding whether to regulate TPF directly.
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 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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