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
In this article, we explore a question of institutional design: What characteristics make a regulatory agency effective? We build on the growing body of administrative law literature that rigorously examines the impacts of transparency, insulation, and related administrative processes. We argue that there are certain benefits associated with an opaque and insulated structure, including the ability to regulate unfettered by partisan politics and majoritarian preferences. We examine Canada’s financial institution regulator, the Office of the Superintendent of Financial Institutions (OSFI), whose efficacy in part explains the resilience of Canada’s banking sector throughout the financial crisis of 2008. In particular, OSFI operates in a “black box”, keeping information about the formation of policy and its enforcement of this policy confidential. With its informational advantage, it is able to undermine the possibility that banks will collude or rent-seek. Our conclusions regarding the value of opacity cut against generally held views about the benefits of transparency in regulatory bodies.
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 | 0.003 | 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