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Record W2098428202 · doi:10.1177/0963662510389977

Mobile knowledge and the media: The movement of scientific information in the context of environmental controversy

2010· article· en· W2098428202 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

VenuePublic Understanding of Science · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsTrent University
FundersRoyal Society
KeywordsNewspaperContext (archaeology)CredibilityAssertionSituatedSocial mediaSociology of scientific knowledgeRelevance (law)Public relationsPolitical scienceSociologyThe InternetScience communicationSocial scienceMedia studiesGeographyScience educationLawComputer science

Abstract

fetched live from OpenAlex

This paper examines the role of the news media in transnational flows of knowledge. Its focus is on salmon aquaculture, an industry operating in Europe, Canada, and elsewhere. To examine the movement of knowledge from Europe to Canada, a sample of 323 news stories mentioning European aquaculture was drawn from 1261 stories about aquaculture published in Canadian newspapers between 1982 and 2007. Their analysis demonstrates the role of the media in selectively moving and shaping scientific knowledge. This role has been influenced by numerous factors, including journalistic norms, source strategies, and the assertion of trust, relevance and scientific credibility. This analysis corrects the common assumption in the internet era that information flows freely: new technology has not obviated the role of social factors. The media's role in the movement of knowledge also has implications for the geography of science, and for the status of science as a situated practice.

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)0.007
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.015
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 head0.206
GPT teacher head0.358
Teacher spread0.152 · 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