Bibliographic record
Abstract
My paper talks about post-human spaces and technological afterness associated with the physiognomy of humans. Mechanical alteration in biological mechanisms is directly experienced in seizing of organic consciousness. The rupture in consciousness splits it into two distinct parts—one belonging to the disappearing human, the other to the emerging cybernetic. The new being is not another human, but (an)other human, an evolved different sameness. In the film Realive (2016) we encounter an extension of the self beyond death by re-placing it into another body. However, this enhancement diffuses all ‘natural’ responses and meaning-making vehicles, primarily the cognizance of death and mortality. In a classic Frankensteinian restoration, Marc is reanimated in 2084 through extensive methods of cryonization under the banner ‘Lazarus project’. The post-human ‘humachines’ dissolve the position of the teleological man and stretch DNA to digitality. Upgrade (2018) shows us the metamorphosis of Grey Trace, a luddite, by an installed biomechanical enhancer chip, Stem. The roach-like implant not only erases Grey’s quadriplegic body, but ironically ‘desires’ to possess and manoeuver the host’s body. Robotic consciousness in these assimilated after-humans is borrowed consciousness activated by infusing the evanescent biological particle – life. Nanotechnology, molecular machines, nerve manipulators, cameras implanted inside the brain, self-generating nanobots, artificial mechanical limbs have emerged as elements of posthuman utopia/dystopia. Paradoxically, in both the films the protagonists, after their reanimation and upgradation, try to return to their original position of death and disability. In their quest to retrieve the lived body they lose their embodied reciprocations with animals, machines and other forms of life. The mysterious, irreducible, unknown and unknowable potentiality of life is levelled and dissipated by surplus information. This paper attempts to discuss the reactions of embodied body as memory post-cryonization, and to understand limits of psychological disability and death of consciousness after technological reconstruction of the disabled body.
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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 | 0.000 |
| Science and technology studies | 0.003 | 0.033 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".