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Record W2621484257 · doi:10.5860/choice.44-5078

Nanotechnology: risk, ethics and law

2007· article· en· W2621484257 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueChoice Reviews Online · 2007
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsSocietal impact of nanotechnologyNanotechnologyApplications of nanotechnologyPolitical scienceEngineeringEngineering ethicsMaterials science

Abstract

fetched live from OpenAlex

List of figures, tables and boxes -- List of contributors -- Preface and acknowledgements -- List of acronyms and abbreviations -- 1. Introduction: the challenge of nanotechnologies / Geoffrey Hunt and Michael D. Mehta -- Pt. One. Introducing nanotechnology -- 2. Nanotechnology: from 'wow' to 'yuck'? / Kristen Kulinowski -- 3. Nanotechnology: from Feynman to funding / K. Eric Drexler -- 4. Microsystems and nanoscience for biomedical applications: a view to the future / Linda M. Pilarski, Michael D. Mehta, Timothy Caulfield, Karan V.I.S. Kaler and Christopher J. Backhouse -- 5. Nanotechnoscience and complex systems: the case for nanology / Geoffrey Hunt -- Pt. Two. Regional developments -- 6. Nanotechnologies and society in Japan / Matsuda Masami, Geoffrey Hunt and Obayashi Masayuki -- 7. Nanotechnologies and society in the USA / Kirsty Mills -- 8. Nanotechnologies and society in Europe / Geoffrey Hunt -- 9. Nanotechnologies and society in Canada / Linda Goldenberg -- Pt. Three. Benefits and risks -- 10. From biotechnology to nanotechnology: what can we learn from earlier technologies? / Michael D. Mehta -- 11. Getting nanotechnology right the first time / John Balbus, Richard Denison, Karen Florini and Scott Walsh -- 12. Risk management and regulation in an emerging technology / Roland Clift -- 13. Nanotechnology and nanoparticle toxicity: a case for precaution / C. Vyvyan Howard and December S.K. Ikah -- 14. The future of nanotechnology in food science and nutrition: can science predict its safety? / Árpád Pusztai and Susan Bardocz -- Pt. Four. Ethics and public understanding -- 15. The global ethics of nanotechnology / Geoffrey Hunt -- 16. Going public: risk, trust and public understanding of nanotechnologies / Julie Barnett, Anna Carr and Roland Clift -- 17. Dwarfing the social? Nanotechnology lessons from the biotechnology front / Edna F. Einsiedel and Linda Goldenberg -- Pt. Five. Law and regulation -- 18. Nanotechnologies and the law of patents: a collision course / Siva Vaidhyanathan -- 19. Nanotechnologles and civil liability / Alan Hannah and Geoffrey Hunt -- 20. Nanotechnologies and the ethical conduct of research involving human subjects / Lorraine Sheremeta -- 21. Nanotechnologies and corporate criminal liability / Celia Wells and Juanita Elias -- Pt. Six. Conclusion -- 22. What makes nanotechnologies special? / Michael D. Mehta and Geoffrey Hunt -- Appendix: measurement scales and glossary -- Index

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.049
GPT teacher head0.370
Teacher spread0.321 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it