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Record W2048926502 · doi:10.1177/0162243907310297

Promethean Elites Encounter Precautionary Publics

2008· article· en· W2048926502 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueScience Technology & Human Values · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsQueen's University
Fundersnot available
KeywordsLegitimationPublicsDeliberationPoliticsArgument (complex analysis)Environmental ethicsPolitical scienceDeliberative democracySociologySubject (documents)Political economyPublic administrationLawDemocracy

Abstract

fetched live from OpenAlex

Issues concerning technological risk have increasingly become the subject of deliberative exercises involving participation of ordinary citizens. The most popular topic for deliberation has been genetically modified (GM) foods. Despite the varied circumstances of their establishment, deliberative “minipublics” almost always produce recommendations that reflect a worldview more “precautionary” than the “Promethean” outlook more common among governing elites. There are good structural reasons for this difference. Its existence raises the question of why elites sponsor mini-publics and if policy is little affected by the results of deliberations, questions the possibility of deliberative legitimation of public policy. We make this argument by looking at mini-publics (where possible, a common consensus conference design) on GM foods in France, the United States, Canada, United Kingdom, Australia, and Switzerland. Deliberative legitimation becomes plausible if elites can attenuate their Promethean outlook. This is possible if ecological modernization discourse pervades their politics; Denmark provides an illustration.

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.

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Qualitativelow
gptScience and technology studies
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Theoretical or conceptualhigh
models splitAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.204
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0060.025
Scholarly communication0.0000.001
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 head0.048
GPT teacher head0.363
Teacher spread0.315 · 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