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
Public regulation is increasingly facing competition from “private politics” in the form of activism and corporate self-regulation. However, its effectiveness, welfare consequences, and interaction with public regulation are poorly understood. This article presents a unified dynamic framework for studying the interaction between public regulation, self-regulation, and boycotts. We show that the possibility of self-regulation saves on administrative costs, but also leads to delays. Without an active regulator, firms self-regulate to preempt or end a boycott and private politics is beneficial for activists but harmful for firms. With an active regulator, in contrast, firms self-regulate to preempt public regulation and private politics is harmful for activists but beneficial for firms. Our analysis generates a rich set of testable predictions that are consistent with the rise of private politics over time and the fact that there is more self-regulation and activism in the U.S., while public regulation continues to be more common in Europe.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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