Bibliographic record
Abstract
The majority of international or national guidelines, specific to human genetics concentrate on actual or potential clinical applications. In contrast, the Ethics Committee of the Human Genome Organisation (HUGO) attempts to provide guidance to the bench scientists engaged in fundamental research in genomics prior to any clinical applications. Often confused as constituting the Human Genome Project (HGP) itself, HUGO's (Human Genome Organization) ultimate goal is to assist in the worldwide collaboration underpinning the HGP. It is an international organisation with 1,229 members in approximately 60 countries. The Ethics Committee is one of HUGO's six international advisory committees. Composed of experts from a number of countries and disciplines, the HUGO Ethics Committee promotes discussion and understanding of social, legal, and ethical issues as they relate to the conduct of, and knowledge derived from, the Genome Initiative. Currently, it has 13 members from 11 difference countries. It has produced statements on the conduct of genetic research, on cloning, and, has most recently presented a 'Statement on Benefit-Sharing', April 11, 2000. The Intellectual Property Committee of HUGO has been active in the controversial area of patenting. The issue of benefit-sharing is one that has its source in the mandate of both committees. How to avoid both commodification of the person through payment for access to DNA and biopiracy with no return to benefits to the families or community? While patents are a legitimate form of recognition for innovation, there seems to be no therapeutic exception to some of its stringent rules and the 'morality' exclusion has lain dormant. The HUGO 'Statement on Benefit-Sharing' examines the issues of defining community, common heritage, distributive justice and solidarity before arriving at its conclusions in benefit-sharing. This communication reviews some of these issues.
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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 | 0.020 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.028 | 0.004 |
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".