Efficiency, utility and wealth maximization
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
Abstract This chapter argues that two states of affairs, S' and S, can be Kaldor-Hicks efficient to each other (the Scitovsky paradox), whereas S' and S cannot each contain more utility than the other. So from the fact that S' is Kaldor-Hicks efficient to S, it cannot be inferred that S' increases utility over S. This leads to the contradictory conclusion that S and S' increase utility with respect to each other. Based on the fact that a social state, S, is Pareto optimal, no inference about whether the move to it from a previous social state increases utility can be warranted — at least not without a standard of interpersonal comparability. The chapter goes on to show that only Pareto superiority bears the desired relationship to utilitarianism; that is, if S' is Pareto superior to S, then S' increases utility with respect to S. The rest of the chapter discusses at length various lines of defense for normative economic analysis.
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) | 0.016 | 0.003 |
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