Life as a (bio)political input: critical genealogies of Michael Foucault and Giorgio Agamben
Bibliographic record
Abstract
The present work means to analyze the relation between politics and life throughout Michael Foucault’s and Agamben’s critical-conceptual articulations. That way, we try to explain the following question: to what extent and under which arguments is it possible to reflect upon the politics over the biological human life taking as reference Foucault’s and Agamben’s thesis and even finding a connection between both? We hypothesize that: (1) it is possible to acknowledge the discovery of politics over life back at the Greco-Roman world, linking the bio politics to the Western political structure; (2) while having its spectrum projected in the Age of Antiquity, bio-politics blossomed within the Modern history, since the appearance of medico-social categories and the realizations around the human life potentiality. To inspect the underlying theme of the question, our text is organized in three different moments: first, we go through Foucault’s perception of bio-politics and its connections to the human life; next, we observe how Agamben proposes his thesis and which arguments he makes use of to sustain his statements; and lastly, we present a liaison between both thesis, putting forward how they connected themselves within a research hypothesis.
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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.009 | 0.091 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".