Freedom without being: Kant’s corrective as the philosophical crux of Agamben’s ‘Homo Sacer’ series
Bibliographic record
Abstract
In Giorgio Agamben’s eyes, Immanuel Kant’s work is the modern philosophical harbinger of the catastrophic ‘state of exception’. By focusing on the latter’s ‘author/subject corrective’ (whereby the individual is both author and subject in relation to law), I make the connection between Agamben and Kant’s Critique of Pure Reason more apparent. In doing so, I show how Kant’s corrective instrumentalises autonomy in such a way that it compromises the validity it seeks to rationalise; it does so by separating the individual from actuality, by ostracising law from political challenge, and by conflating individual and state interests. Taken together, these three undercurrents are defining features of Agamben’s ‘Homo Sacer’ series.
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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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.037 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.003 | 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".