Autopoiesis | Ethopoiesis: Bioconvergent Media in the Age of Neoliberal Biopolitics
Bibliographic record
Abstract
This essay serves as an Afterword to the double special issue on Bioconvergence. In addition to summarizing the 11 essays gathered in this collection, the authors argue that bioconvergence serves as a useful critical theoretical frame, a means to describe and to interpret the convergence of media, technologies, and bodies across such representative sites as biomedicine, genomics, contemporary warfare, securitization, economics, informatics, entertainment, law, gender, and race. Specifically, bioconvergence is analyzed (1) as social praxis; (2) as bioethos, or, against ethics; and (3) as a specular ecology that constitutes a convergent episteme. Throughout, neoliberal biopolitics is a key referent for bioconvergence, and helps us to understand how bioconvergence is more than the mere sum of its convergent parts. Raison d’état becomes raison d’être: Bioconvergent networks operate autopoietically, producing entrepreneurial individuals, iterated by and implicated in their own techno-mediatized surveillance, prosumption, risk-management, securitization, and public morality.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.036 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".