A Quality of Life Perspective on the New Eugenics
Bibliographic record
Abstract
Abstract Quality of life is a concept that has had robust development and application in the field of intellectual disability in recent decades. It functions as an apt goal for individuals to enhance their lives, as well as for policy and disability support. Quality of life helps address ethical issues by acting as a key guidepost in ethical considerations. Current philosophical and human rights approaches to disability support the view that intellectual disability is no reason to assume poor quality of life. Moreover, individuals with intellectual disabilities themselves typically rate their own quality of life quite high. Similarly, families perceive disability as contributing to family quality of life in some ways, although this is tempered by social constructs, especially normalcy, that support marginalization and discrimination. Disability Studies, and critical disability theory that constitutes much of its foundation, offer an alternative perspective of intellectual disability that values its contribution to larger society‐intellectual disability as a positive and necessary aspect of the diversity within the human mosaic. It is argued that this perspective of intellectual disability negates the necessity of new eugenics practices.
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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 | 0.025 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.082 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.011 | 0.016 |
| Insufficient payload (model declined to judge) | 0.003 | 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".