Present self-represented futures of value are a reason for the wrongness of killing
Bibliographic record
Abstract
In Marquis's recent paper he has not satisfactorily shown that killing does not adversely affect the victim's present self-represented desires for their future. Marquis is correct in believing life and death are distinct, but living and dying are not. In fact, to use a well-known saying, "the second we are born we start to die". During the process of dying, whether it be long as in over our lifetime or short as in as we are being killed, there comes a point when the present realistic desires we have we know will never be satisfied. This is why killing can be wrong. This would imply killing an unconscious person, infant, or fetus cannot be wrong. But such killing can be wrong, despite the person killed not experiencing the desire not to be killed as he was dying. Killing can be wrong because others can have a present self-represented desire for that person not to be killed to have been killed. If this line of reasoning is correct, then the "best interests" principle often applied to life and death considerations regarding unconscious persons, infants, and fetuses, is invalid, as such human beings do not have present desires. All that matters is what relevant others rationally desire, after being informed of the facts and the consequences, for that unconscious person, infant or fetus.
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How this classification was reachedexpand
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.009 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".