Bibliographic record
Abstract
One version of the desire satisfaction theory of well-being (i.e., welfare, or what is good for one) holds that only the satisfaction of one's present desires for present states of affairs can affect one's well-being. So if I desire fame today and become famous tomorrow, my well-being is positively affected onlyif tomorrow, when I am famous, I still desire to be famous. Call this the present desire satisfaction theory of well-being. I argue, contrary to this theory, that the satisfaction of past desires that are no longer held does indeed affect one's well-being. The satisfaction of past desires is good for one in that the present satisfaction of past desires positively affects one's past well-being. I argue for this view in stages, starting with the recognition that many of our desires are satisfied not at an instant but over an interval of time, and that it is during this interval of time that our well-being is positively affected. Once we get our foot in the door with some temporal thickness to desire satisfaction and the associated well-being, I argue, the door must open more widely to allow for greater temporal distance between present desire satisfaction and past well-being. I defend my thesis that present satisfaction of past desires increases one's past welfare against objections, including the claim that it involves backward causation and Velleman's claim that the view is highly counterintuitive whether or not it involves backward causation. I argue that some of the objections rely on hedonistic intuitions, intuitions that most desire satisfaction theories of welfare aim to correct. Once properly understood and applied, my counterintuitive and controversial thesis is really quite innocuous.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".