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 paper considers some differences in the ways that economics and philosophy study equality and egalitarianism in general. First, economics tends to understand a value simply as an ordering over outcomes while philosophy attempts to find a deeper explanation of the ordering in terms of intuitive ideas about the value. Sometimes the supposedly deeper explanation turns out to be insightful, but, in other cases, it is misleading or fails to be explanatory. Second, economists often propose impossibility results intended to show that apparently innocuous ideas about a value can have surprising consequences when they are combined. However, the significance of the results can be difficult to interpret and, sometimes, they do not establish as much as they initially seem to. Third, economists often criticize philosophical work about equality for making misguided assumptions about the possibility of measuring utility or well-being. The paper does not attempt to answer this criticism, but it points out some specific ways in which the scepticism about measurement might be exaggerated.
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 | 0.000 | 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) | 0.001 | 0.001 |
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