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Cultures, contexts and commitments in the governance of controversial technologies: US, UK and Canadian publics and xenotransplantation policy development

2011· article· en· W1982089894 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 and Public Policy · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeuroethics, Human Enhancement, Biomedical Innovations
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPublicsFraming (construction)Corporate governancePublic relationsPolitical sciencePublic policySituational ethicsSociologyContext (archaeology)Environmental ethicsPublic administrationPoliticsLawManagementEconomicsGeography

Abstract

fetched live from OpenAlex

While there has been considerable interest in public participation in new and controversial technologies in the last two decades, less attention has been paid to how different ‘publics’ and ‘participation’ are constructed and defined in the context of policy development and the contingencies (historical, cultural, and situational) that can contextualize these processes. This study examines the development of xenotransplantation policy in the US, Canada and the UK in order to understand the emergence of different publics and versions of participation in the social appraisal of a controversial biomedical technology. By examining publics in invited arenas and those that operate in public spaces outside of these official rooms (paying special attention to animal rights and welfare groups), we suggest that a broader understanding can be gained of the nuances in policy trajectories. Contrasting experiences in three case countries with close cultural and historical traditions further elucidate the nature of the framing activities of policy-makers around public participation and the boundary work around different practices that emerged.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.891
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.060
GPT teacher head0.312
Teacher spread0.252 · 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