Bibliographic record
Abstract
David Gauthier tries to defend morality by showing that rational agents would choose to adopt a fundamental choice disposition that permits them to cooperate in prisoner's dilemmas. In this paper, I argue that Gauthier, rather than trying to work out a prudential justification for his favored choice disposition, should opt for a transcendental justification. I argue that the disposition in question is the product of socialization, not rational choice. However, only agents who are socialized in such a way that they acquire a disposition of this type could acquire the capacity to use language. Given the internal connection between language and thought, this means that no agent endowed with such a disposition could rationally choose to adopt another. Thus rational reflection by moral agents upon their own fundamental choice disposition will have no tendency to destabilize it. “It is a necessary truth that people tend to do what they think they ought to do, for it is a necessary truth that people who occupy a linguistic position which means / ought to do A now , tend to do A. If they did not, the position they occupy could not mean I ought to do A now.” Wilfrid Sellars, “Some Reflections on Language Games.”
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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 | 0.003 | 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 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, 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".