Bibliographic record
Abstract
In the wake of the nonideal theory turn in political philosophy, few have paused to ask: Is nonideal theory a form of ideology? And perhaps even fewer have paused to ask: Is the debate between ideal/nonideal theorists itself a form of ideology? To the first question, I argue that nonideal theory is ideological in virtue of the fact that it rules out more utopian ways of theorizing by methodological fiat, and in so doing, risks entrenching an unjust status quo. To the second question, I argue that the debate between ideal/nonideal theorists is itself a form of ideology, one which serves to reinforce the status quo by convincing political philosophers/theorists that the most pressing problems are problems about what we should think about what we are doing. But this is false. An upshot of my argument is that we ought to abandon the ideal/nonideal theory debate and address the pressing problems of political philosophy head-on in pluralist fashion, oscillating back and forth between these two modes of theorizing without a decision procedure to tell us when we should take up one perspective or the other.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".