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Record W3217405825 · doi:10.5281/zenodo.5423720

"At least we're trying": Experimenting with roles and repertoires to foster new connections between science and society

2021· article· en· W3217405825 on OpenAlexaff
Sem Barendse, Virgil Rerimassie, Frank Kupper

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsAthena Sustainable Materials Institute
FundersEuropean Commission
KeywordsAffordanceEpistemologyPolitical scienceComputer scienceSociologyHuman–computer interaction

Abstract

fetched live from OpenAlex

The aim of this report is to explore the different roles science communicators assume – or should be assuming – to meet the challenges and demands in the contemporary science communication landscape. On the basis of earlier RETHINK research on how science communicators employ innovative techniques to reach underserved audiences, six roles were formulated that can be – and are – adopted by science communication practitioners to enhance their connections with a wider range of audiences: The Broker, creates connections between target audience and actors to obtain access to a target group, links with other actors to supply, involves all actors in dialogue; The Listener, connects to target audience with active listening and empathy and integrates that what is learned in communication activity; The Includer, breaks down physical, social, cultural barriers to give audience access to resources, spaces, knowledge & opportunities; The Enabler, provides target audience with access to information, resources, spaces, and changes power dynamics between science-society; The Educator, contributes to understanding scientific method and process, and critical thinking skills leading to misinformation identification; and The Entertainer, gets scientific communication across via games, arts, performances, hands-on activities & storytelling.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0070.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.315
GPT teacher head0.381
Teacher spread0.067 · 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 designNot applicable
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

Citations1
Published2021
Admission routes1
Has abstractyes

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