Genomics and public health : legal and socio-ethical perspectives
Bibliographic record
Abstract
Acknowledgements -- Pt. I. Population screening: issues, realities and possibilities -- A Introduction: expansion of screening / J. Gerard Loeber -- Expansion of newborn screening: current achievements and new prospects / Bridget Wilcken -- Screening newborns for genetic susceptibility: what's the harm? / Nikki Kerruish -- Newborn screening expansion: Massachusetts research models encompass public health service responsibility / Anne Marie Comeau -- Carriers detected by neonatal screening: a clinical geneticist's view / Helena Kääriäinen and Ilona Autti-Rämö -- Systematic neonatal screening and carrier detection: lessons from sickle cell disease and cystic fibrosis screening in France / Jean-Louis Dhondt -- Carrier detection in newborns: should it be discovered? Should it be disclosed? Lessons from sickle cell anemia and cystic fibrosis screening in the United States / Lainie Friedman Ross, Carolyn and Matthew Bucksbaum -- B Introduction: newborn screening: storage and access for research / Ellen Wright Clayton -- The Danish newborn screening biobank in practice and research: revised biobank regulations / Bent Norgaard-Pedersen and David M. Hougaard -- Research and public health surveillance using newborn bloodspots in Canada / Denise Avard -- Implementation of population screening / Jane Halliday -- Pt. II. Balancing interests in public health genomics -- Introduction: Of genomics and public health: building public "goods "? / Bartha Maria Knoppers -- Privacy issues in public health genomics / Mark Rothstein and Herbert F. Boehl -- Balancing private and public interests in policy / Darren Shickle -- Public opinion, consent and population genetic biobanks / Timothy Caulfield and Nola M. Ries -- Challenges for public health genomics the public health perspective on genome-based knowledge and technologies / Angela Brand -- Pt. III. Genomics and public health: current approaches and future perspectives -- Introduction: The role of international stakeholders in genomics and public health / Andrea Boggio -- From genomic research to public health practice: international policy implications / Stuart Hogarth -- GRaPH Int: an international network for public health genomics / Alison Stewart, Mohamed Karmali, Ron Zimmern -- The role of international stakeholders patients as partners / Alastair Kent -- Genomics and modes of democratic dialogue: an analysis of two projects / Hubert Doucet, Marianne Dion-Labrie, Celine Durand and Isabelle Ganache -- Meeting of minds: a European citizen's deliberation on emerging technologies / Marie-Helene Mouneyrat -- Developments in genomics: engaging young people / Caroline Hurrent -- Interdisciplinary graduate training in public health genetics at the University of Washington / Melissa A. Austin
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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 | 0.075 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.015 | 0.111 |
| Scholarly communication | 0.025 | 0.025 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.038 | 0.037 |
| Insufficient payload (model declined to judge) | 0.008 | 0.002 |
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".