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Record W2161302472

Public Engagement, Public Consultation, Innovation and the Market

2006· article· en· W2161302472 on OpenAlexaffabout
David Castle, Keith Culver

Bibliographic record

VenueIntegrated Assessment · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsUniversity of New BrunswickUniversity of Guelph
Fundersnot available
KeywordsPublic engagementPublic relationsPublishingOrder (exchange)Public opinionPolitical scienceService (business)DemocracyBusinessMarketingPolitics
DOInot available

Abstract

fetched live from OpenAlex

Engagement of the public regarding new science and technology is almost a routine feature of the innovation cycle in Canada. Recent examples include: the Health Canada-initiated consultation on xenotransplanation, public engagement in self-standing GE3LS research programs or projects embedded in scientific platforms, the launch of the National Research Council’s e-democracy laboratory, and the Canadian Biotechnology Secretariat’s rolling study of consumer attitudes toward biotechnology. The vast majority of research into the methods, effectiveness, and merits of public engagement is conducted by, or with the assistance of, university-based researchers, the major exception being opinion polls conducted by professional pollsters. In order to fulfill the requirements of university-based research, academics collect kudos from like-minded peers by presenting their results at conferences and publishing in academic journals and books. Often the research is also deliberately or derivatively disseminated into the grey literature for use by industry and the public service. In this dissemination mode, researchers are often regarded as consultants who provide nonacademic constituencies with expert advice on assessment of public attitudes toward new science and technology.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.445
GPT teacher head0.454
Teacher spread0.009 · 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 designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations18
Published2006
Admission routes2
Has abstractyes

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