Bibliographic record
Abstract
Since Plato's time, there have been attempts to show that the generally altruistic way of life is superior to the totally selfish way of life. Drawing upon the conclusions of philosophers and social psychologists, I argue that it is better to have a fairly moral character than a totally selfish one. I first argue that it is possible to have genuinely altruistic motivations (rather than disguised selfish motivations). I then show that both the altruistic and the selfish way of life are genuine choices for rational beings. Next I argue that the nature of values is such that they require reinforcement from others in order for us to verify that what we believe to be values are indeed values. I further argue that values are unattainable for the totally selfish person. Subsequently, I point out that values are necessary for an agent to have a meaningful life, and very likely necessary for a human to be able to have a sense of self. Since most people desire to have a meaningful life and a sense of self, I argue that the benefits possible to the fairly moral person outweigh the benefits possible to the totally selfish one, even if the latter can disguise her selfishness completely.
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 | 0.008 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.106 |
| Scholarly communication | 0.015 | 0.017 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.009 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".