Bibliographic record
Abstract
Transhumanism advances an ideology promising a positive human advance through the application of new and as yet unrealized technologies. Underlying the whole is a libertarian ethos married to a very Christian eschatology promising a miraculous transformation that will answer human needs and redress human failings. In this paper, the supposedly scientific basis on which transhumanist promises are built is critiqued as futurist imaginings with little likelihood of actualization. Transhumanists themselves are likened to the affable con man Professor Harold Hill who, in The Music Man, describes as dire social problems whose solution is a youth band he seeks to sell but has no intention of building. Even were some of the transhumanist imaginings to be realized, I argue, the result would be a dystopia in which the few received benefits denied to the many. In advancing imaginary technologies as a solution to human needs, transhumanists and their bioethical fellow travelers handily avoid discussion of or advocacy for the kind of pedestrian social actions that demonstrably could achieve many of their purported goals. So their enthusiasms, I conclude, are not merely fanciful but damaging to the humanist goals they pretend to advance.
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 | 0.005 | 0.005 |
| 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 | 0.071 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".