What Makes a Political Theory <i>Political</i> ? A Comment on Waldron
Why this work is in the frame
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Bibliographic record
Abstract
This article considers Jeremy Waldron’s recent contribution to a growing conversation about how to make political theory and philosophy more responsive to real politics— Political Political Theory—in light of his broader body of work, especially Law and Disagreement. I argue that rather than providing a genuine alternative to the idealization and abstraction characteristic of what Waldron labels the “justice industry,” he uses the concept of what counts as properly “political” to grant nearly absolute priority to a certain class of concerns over others. This strategy places him in the company of a long line of liberal theorists, but it does not necessarily make his theory more political than its rivals. His alternative simply focuses its idealization and abstraction on the ideal of legitimacy rather than justice.
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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 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it