Unfit for the future? The depoliticization of human perfectibility, from the Enlightenment to transhumanism
Bibliographic record
Abstract
An intellectual and cultural movement advocating a radical enhancement of human performance via technoscientific and biomedical advances, transhumanism has grown in notoriety in recent years. Grouping engineers, philosophers, sociologists, and entrepreneurs, the movement and its ideals of enhanced humans have a strong social resonance, be it doping in sport, the use of smart drugs, or the biomedical battle against aging. This article sheds theoretical and critical light on transhumanism through the lens of human perfectibility. It particularly aims to show how the movement marks a significant reversal of the humanist conception of human perfectibility inherited from the Enlightenment. Far from working for the social and political emancipation of humans and the human condition, transhumanism is emblematic of a depoliticized conception of human perfectibility focused on the technoscientific adaptation of the human being. Transhumanism thus marks a major rupture with the modern democratic project of autonomy.
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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.081 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".