Critical Thinking in Moral Argumentation Contexts: A Virtue Ethical Approach
Bibliographic record
Abstract
In traditional analytic philosophy, critical thinking is defined along Cartesian lines as rational and linear reasoning preclusive of intuitions, emotions and lived experience. According to Michael Gilbert, this view – which he calls the Natural Light Theory (NLT) – fails because it arbitrarily excludes standard feminist forms of argumentation and neglects the essentially social nature of argumentation. In this paper, I argue that while Gilbert’s criticism is correct for argumentation in general, NLT fails in a distinctive and particularly problematic manner in moral argumentation contexts. This is because NLT calls for disputants to adopt an impartial attitude, which overlooks the fact that moral disputants qua moral agents are necessarily partial to their own values and interests. Adopting the impartial perspective would therefore alienate them from their values and interests, causing a kind of “moral schizophrenia.” Finally, I urge a re-valuation of epistemic virtue in argumentation.
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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 | 0.023 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.002 |
| Science and technology studies | 0.009 | 0.080 |
| Scholarly communication | 0.015 | 0.015 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.009 | 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".