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
The Canons of Judicial Ethics remind me of the old joke about the drunk who’s crawling around on all fours under a lamp-post one night. A policeman comes along and asks him his business and the drunk explains that he’s looking for a lost quarter. So the policeman offers to help and pretty soon they’re both crawling around looking for the coin. After about a half hour of this, the policeman gets fed up and asks: “Are you sure you lost the quarter around here?” “Oh, no,” answers the drunk, “I dropped it over in the alley, but it’s too dark to look there.” So, too, it is with the Canons of Judicial Ethics. The Canons focus on the tensions and potential conflicts that are most easily detected by an outside observer. For example, pretty much everyone agrees that a judge should not sit in judgment on a case on appeal if he participated in the decision below. Similarly, everyone agrees that a judge may not sit in judgment in a case where he participated as a party or a lawyer. Of course, those are just two of the most obvious examples; we have plenty of rules and precedents saying that a judge may not participate in a case where doing so would create the appearance of impropriety. I should mention at the outset that I’m not a fan of this approach to judicial ethics, nor do I believe that it’s necessary or inevitable. Take the two examples I’ve given. As you will recall, in the early days of the Republic the justices rode circuit, and some of the cases they heard in
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 | 0.003 | 0.006 |
| 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 | 0.001 |
| 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