Market structure and disempowering regulatory intermediaries: Insights from U.S. trade surveillance
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 Public agencies outsource a wide variety of tasks to nonstate actors, or what can be referred to as regulatory intermediaries. In certain circumstances, these agencies may seek to disempower those regulatory intermediaries by reclaiming, duplicating, or transferring the outsourced task. When will these disempowerment attempts be successful? This article presents the Market Structure Hypothesis, which contends that the level of competition between regulatory intermediaries will, all things equal, determine whether disempowerment attempts succeed. To test this hypothesis, this article examines the U.S. Securities and Exchange Commission's attempts to acquire the independent capacity to conduct nationwide trade surveillance in the 1980s (Market Oversight Surveillance System) and 2010s (Consolidated Audit Trail). Evidence derives from archival materials, a Freedom of Information Act Request, and 60 interviews in Oxford, London, Toronto, New York City, and Washington, DC. The empirical results corroborate the hypothesis' expectations, contributing to our understanding of public‐private partnerships and shedding new empirical light on an understudied topic of securities regulation.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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