Bibliographic record
Abstract
This paper aims to provide insights into the effective regulation of private sector innovation. It coins a term – “innovation-framing regulation” – to describe a particular quality of the regulation that characterized much of financial regulation in the recent era. After briefly sketching a particular financial innovation (securitization and the marketing of securitized assets on the derivatives markets) it describes three regulatory interactions with that innovation: the Basel II Capital Accords, the Asset-Backed Commercial Paper Crisis in Canada, and the ongoing notice-and-comment rulemaking process surrounding the Volcker Rule in the United States. While each case study is different, in each one the regulatory regime exhibits a lack of understanding about the phenomenon of innovation it is grappling with. The paper identifies three key assumptions that are ripe for re-evaluation: the notion that private sector innovation is beneficial, virtually by definition; the assumption that the regulatory moment is the crucial moment in regulatory design; and the belief that innovation somehow sits outside regulation and can be untouched by it. The paper argues that effective regulation of private sector innovation requires a clearer and more nuanced understanding of innovation, and engagement with the normative choices underpinning innovation-framing regulation.
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 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 | 0.001 |
| 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) | 0.005 | 0.010 |
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; both teacher heads agree on what is shown here.
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".