Well-Being, Autonomy, and the Horizon Problem
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
Desire satisfaction theorists and attitudinal-happiness theorists of well-being are committed to correcting the psychological attitudes upon which their theories are built. However, it is not often recognized that some of the attitudes in need of correction are evaluative attitudes. Moreover, it is hard to know how to correct for poor evaluative attitudes in ways that respect the traditional commitment to the authority of the individual subject's evaluative perspective. L. W. Sumner has proposed an autonomy-as-authenticity requirement to perform this task, but this article argues that it cannot do the job. Sumner's proposal focuses on the social origins of our values and overlooks the deep psychological roots of other evaluative attitudes that are just as problematic for welfare. If subjective theories of welfare are to be at all plausible they may need to abandon or modify their traditional commitment to the authority of the individual subject.
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 | 0.001 | 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 | 0.002 |
| 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