The Better I Can Be: In Defence of Human Enhancement for a New Genetic Equality
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The main objection to genetic enhancement is that it will create a “genetic apartheid,” deepening existing inequalities. This paper offers considerations that can weaken the inequality argument against genetic enhancement. First, I question the dichotomy of treatment versus enhancement since the differences between the two are unclear. Second, I argue that human enhancement is part of human nature and that there is no sound reason to accept it in other domains while rejecting it in genetics. The paper also demonstrates that inequality is present in every dimension of society, that “God-given” genetics is profoundly unequal, and that genetic enhancement can operate as a mechanism by which a new genetic equality can be achieved. However, the paper underlines that genetic equality is not, per se, a value to which we ought to aspire if it leads us to a uniform community of downsized human beings. Genetic equality is only valuable if it enhances humankind in general.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it