Towards a liberal Utopia: The connection between Foucault’s reporting on the Iranian Revolution and the ethical turn
Bibliographic record
Abstract
The shift in Foucault’s work from genealogy to ethics finds consensus among Foucault scholars. However, the motivations behind this transition remain either misunderstood or understudied in large part. Foucault’s recently published or soon-to-be translated 1977/—9 lectures (published as Security, Territory, Population and as The Birth of Biopolitics) offer new elements for understanding this dense and uncharted period along Foucault’s itinerary. In this article, the author argues that Foucault’s interpretation of the liberal tradition, which is at the core of the 1977—9 lectures, must be examined in combination with Foucault’s other major interests in the late 1970s, namely the Iranian Revolution and Kant. The discovery of spirituality (Iran), the valorization of an autonomous subject (Kant) and the call for a tolerant environment towards minority practices (liberalism) pave the way for the later Foucault’s ethics, which are grounded in spiritual exercises and means of liberating the subject.
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 | 0.012 | 0.027 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.064 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.011 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".