Rawls on the embedded self: Liberalism as an affective regime
Bibliographic record
Abstract
In recent years, political theorists have come to recognize the central role of affect in social and political life. A host of scholars, coming from a number of distinct traditions, have variously drawn our attention to the importance of the emotions to the tradition of the history of political thought, as well as to normative political theory. This attentiveness to affect is often cast as a break with earlier, Enlightenment-inspired liberal approaches towards politics, approaches that marginalized the emotions, dismissing the passions as potentially dangerous, or neglected them altogether. According to the conventional liberal view, emotions are said to have no place in the public sphere, while proceduralist institutions abstract away from citizens’ affective attachments, now cast as private preferences of individuals qua citizens. In this paper we challenge this prevalent view. We argue that no less a liberal theorist than John Rawls is deeply attentive to the place of emotions in his account of liberalism. This may seem counterintuitive given that Rawls' work has been frequently criticized for epitomizing some of the deepest problems of contemporary liberal theory, as a result of the emphasis on rationalism and reasonableness in his account of liberal justice. However, against this prevalent reading, we demonstrate that Rawls is in fact highly concerned with the role of affect and presents us with an account of the embedded liberal subject. By drawing out these dimensions of Rawls' thought, we hope to contribute to upending the conventional view of liberalism as affect-blind in order to encourage a more nuanced reading of the liberal tradition.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.034 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| 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".