Genetic discrimination still casts a large shadow in 2022
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
Genetic discrimination (GD) is not new. It is usually understood as a type of discrimination based on genetic characteristics that is intended to infringe or has the effect of infringing on human rights, fundamental freedoms, and human dignity [ 1 ]. Like sexual, ethnic, or disability-based discrimination, GD can be a source of exclusion. It may limit a person’s social and professional opportunities and lead to psychological, social, and economic disadvantage and distress [ 2 ]. The first cases of GD surfaced in the fields of personal insurance and employment in the United States in the late 1970s. Since then, many countries in America, Europe, Asia, and Oceania have adopted laws to prevent this kind of discrimination. In low- and middle-income countries with less capacity to perform genetic tests on a broad scale and facing pressing health and economic challenges, non-GD laws are rarely a priority [ 3 ].
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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