Cross-National Comparative Communication and Deliberation About the Risks of Nanotechnologies
Bibliographic record
Abstract
This chapter presents some of the methodological and philosophical challenges faced when conducting public engagement with emerging technologies. The intellectual origins and challenges of conducting upstream public engagement for science communication are discussed, illustrated through the case of nanotechnologies. A series of cross-national workshops held simultaneously in the United States and the UK are described. Findings included that benefits continued to be weighted more heavily than risks in participants’ perceptions of nanotechnologies, as well as did the type of application; that there were more US–UK cross-cultural similarities than differences in the data; the differences that did emerge were both subtle and contextual; and that discourses about social concerns rather than physical risk issues were more salient for participants in both countries. Four methodological challenges for upstream engagement are outlined. We argue that we must also place diverse publics and other concerned stakeholders at the heart of processes of responsible innovation
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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 | 0.023 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.012 | 0.021 |
| Scholarly communication | 0.013 | 0.018 |
| Open science | 0.001 | 0.015 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 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".