The retrieval of positive freedom, post-Kantian perfectionism and neo-Roman liberty in contemporary political thought
Bibliographic record
Abstract
In recent years, political theorists have increasingly turned their attention to the past in search of conceptual renovation in the present. While recourse to the past has been a recurring thread throughout the history of political thought, the overlapping concern of recent scholarship has been to revisit seemingly exhausted political concepts with the aim of repurposing them for contemporary political challenges and realities. The three edited collections under review – Positive Freedom, Perfektionismus der Autonomie and Rethinking Liberty Before Liberalism – are distinguished by their thoughtful attempts at retrieving and politicizing the concepts of positive freedom, post-Kantian perfectionism, and neo-Roman liberty in contemporary political thought. These retrievals present promising avenues for theoretical innovation, along with the ever-present risk of diminishing interpretive returns.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.002 | 0.020 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| 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".