Hybrids of Mind and Body: The Forms and Freedoms of the Cyborg in Posthumanist Science Fiction
Bibliographic record
Abstract
[Introduction] The Cyborg as a figure in popular culture – the body in a literal state of “human/machine symbiosis” (Katherine Hayles, How We Became Posthuman 112) – has sometimes been conceived as a monstrous figure, as a figure of otherness, a being whose status as a hybrid has placed them into the figure of what Giorgio Agamben might refer to as “the Homo Sacer, a person [who] is simply set outside human jurisdiction without being brought into the realm of divine law” (Agamben, Sovereign Power and Bare Life 82). The Homo Sacer, in other words, is a being who has been stripped of all recognition and humanity, deserving neither the rights of a human being or any other animal, and has come to be acknowledged only as an object. Agamben further defines the life of Homo Sacer’s exclusion as “unsacrificeability and [yet] is included in the community in the form of being able to be killed” (82), meaning that Homo Sacer can be killed, but that their killing would never constitute murder, as their life has no recognizable value.
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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 | 0.001 | 0.002 |
| 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 | 0.030 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".