Terms of the Political: Community, Immunity, Biopolitics
Bibliographic record
Abstract
Terms of Political: Community, Immunity, Biopolitics presents a decade of thought about origins and possibilities of political theory from one of contemporary Italy's most prolific and engaging political theorists, Roberto Esposito. He has coined a number of critical concepts in current debates about past, present, and future of biopolitics-from his work on implications of etymological and philosophical kinship of community (communitas) and immunity (immunitas) to his theorizations of impolitical and impersonal. Taking on interlocutors from throughout Western philosophical tradition, from Aristotle and Augustine to Weil, Arendt, Nancy, Foucault, and Agamben, Esposito announces eclipse of a modern political lexicon-freedom, democracy, sovereignty, and law-that, in its attempt to protect human life, has so often produced its opposite (violence, melancholy, and death). Terms of Political calls for opening of political thought toward a resignification of these and other operative terms-such as community, immunity, biopolitics, and the impersonal-in ways that affirm rather than negate life. An invaluable introduction to breadth and rigor of Esposito's thought, book will also welcome readers already familiar with Esposito's characteristic skill in overturning and breaking open language of politics.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.030 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.006 | 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".