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Record W2902632797 · doi:10.1177/1075547018816456

Science Communication Is Culture: Foregrounding Ritual in the Public Communication of Science

2018· article· en· W2902632797 on OpenAlexaff
Gwendolyn Blue

Bibliographic record

VenueScience Communication · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsForegroundingScience communicationDialogicSociologyField (mathematics)Relevance (law)Communication studiesCommunication sciencesEpistemologyHumanismPublic awareness of scienceModels of communicationSocial scienceMedia studiesCommunicationPolitical scienceScience educationPedagogyArtLiterature

Abstract

fetched live from OpenAlex

This commentary demonstrates the relevance of James Carey’s ritual view of communication for the field of science communication. A ritual view of communication invites examination of the geographical, historical, and material dimensions of communication where dialogues, bodies, public spaces, and comestibles provide enabling conditions for democratic engagement. This is an opportune time for science communications scholars to engage with Carey’s ideas as the field moves from deficit accounts of communication to the dialogic and cultural models that have become more prevalent in recent decades. A ritual view highlights the importance of theoretical, humanist approaches as complements to empirical, instrumental accounts of science communication.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.038
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.984
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.038
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0160.077
Scholarly communication0.0160.020
Open science0.0020.009
Research integrity0.0090.014
Insufficient payload (model declined to judge)0.0030.001

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 head0.480
GPT teacher head0.508
Teacher spread0.028 · 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 source (direct Gemma or distilled Codex), 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

Citations19
Published2018
Admission routes1
Has abstractyes

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