The development of contemporary medical genetics research models and the need for scientific responsibility /
Bibliographic record
Abstract
Current medical genetics research is dominated by a single theory that supports the Human Genome Project rationale. This thesis investigates this and several alternative hypotheses and the ethical context related to their development. Firstly, the hypotheses are discussed in detail followed by a subsection in which research evidence based on each hypothesis is cited. Secondly, these medical genetics hypotheses are situated within the contemporary medical paradigm. To conclude, the thesis examines in depth the ethical and practical implications of medical genetics research. A framework of analysis of scientific responsibility is used to explore these implications. Scientific responsibility, as presented in this thesis, is a process consisting of three steps: (1) scientific discourse; (2) the development of the nature of scientific responsibility; and, (3) effective criticism. Once scientific responsibility is defined, the term is applied specifically to the field of medical genetics research.
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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 | 0.150 | 0.085 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.008 | 0.134 |
| Scholarly communication | 0.025 | 0.023 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.010 | 0.014 |
| 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".