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Cross-National Comparative Communication and Deliberation About the Risks of Nanotechnologies

2017· book· en· W2734765614 on OpenAlexaff
Nick Pidgeon, Barbara Herr Harthorn, Terre Satterfield, Christina Demski

Bibliographic record

VenueOxford University Press eBooks · 2017
Typebook
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsUniversity of British Columbia
FundersUniversity of California, Santa Barbara
KeywordsDeliberationPublic engagementSalientUpstream (networking)PublicsPublic relationsPolitical sciencePerceptionSociologyEngineering ethicsPsychologyPoliticsEngineering

Abstract

fetched live from OpenAlex

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

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.987
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.618
GPT teacher head0.469
Teacher spread0.149 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations12
Published2017
Admission routes1
Has abstractyes

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