Bibliographic record
Abstract
French philosopher Michel Foucault is perhaps best known as a theorist of power. Foucault analysed several different types of power, including sovereign power, disciplinary power and the subject of the current chapter: biopower. In what follows, I will first provide an overview of biopower as Foucault conceives of it. This overview will distinguish biopower from sovereign and disciplinary power, identify and discuss distinctive characteristics of biopower and provide examples which illustrate these characteristics. The final section of the chapter undertakes an extended example of a particular occurrence of biopower within modern and contemporary Western societies. Powers of life and death: from sovereign power to biopower In The History of Sexuality: An Introduction (1990a) and in his 1975–76 Collège de France course, Society Must Be Defended (2003) Foucault describes biopower as a power which takes hold of human life. In both these works Foucault traces the shift from classical, juridicolegal or sovereign power to two typically modern forms of power, discipline and biopower, as a shift from a right of death to a power over life: “in the classical theory of sovereignty, the right of life and death was one of sovereignty's basic attributes … The right of sovereignty was the right to take life or let live. And then this new right is established: the right to make live and to let die” (2003: 240–41). Sovereign power is a power which deduces.
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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.033 | 0.013 |
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".