För Sent för Snowman : Transhumanistiska Ideal i Margaret Atwoods Oryx and Crake
Bibliographic record
Abstract
This essay attempts to study transhumanism and its role in the anthropogenic pandemic at the center of the novel, in order to show that transhumanist thought was a driving factor behind it. By looking at transhumanist concerns in the portrayed society, and the beliefs of Crake, one uncovers that Crake was able to exploit the desire for enhancement of humanity as a whole in order to achieve the ultimate transhumanist goal: the near-perfect and immortal posthuman Crakers. Analyzing the intentions behind the creation of the posthuman, and Snowman’s relationship to them, it becomes clear that the posthuman is a replacement of existing humanity, since the sought after qualities of the posthuman can only be attained through genetic engineering before birth and not by altering individual humans. I hope to have shown that the novel contains a warning about transhumanism and the potential misuse of science when one person think things through to its logical conclusion.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.017 | 0.004 |
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".