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Record W3039818122 · doi:10.1523/eneuro.0238-20.2020

The Value in Science-Art Partnerships for Science Education and Science Communication

2020· article· en· W3039818122 on OpenAlex
Cristián Zaelzer

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.

Bibliographic record

VenueeNeuro · 2020
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsLa Boîte à lettresConcordia UniversityMcGill University Health Centre
Fundersnot available
KeywordsScience communicationPublic awareness of scienceThe artsNarrativeContext (archaeology)Convergence (economics)Sociology of scientific knowledgeScientific literacySociologyEngineering ethicsPsychologyPublic relationsScience educationPolitical sciencePedagogySocial scienceEngineering

Abstract

fetched live from OpenAlex

Just a fraction of the scientific knowledge produced in laboratories reaches a lay audience. Most of our communication with the public gets lost in translation because of the difficulties that science communication poses to scientists. Among other obstacles, differential exposure to scientific and critical thinking, discrepancies with social narratives, and communication training based in the deficit model add on top of a practice established on avoiding emotionality. In this context, effective communication requires the use of emotions, which are crucial to establishing trust. This commentary provides a rationale for collaboration with graphic design and fine arts to use emotions in science communication and education. It starts by proposing the two-way engagement model as a replacement for the deficit model. Next, it offers a neuroscientific basis for the use of emotions in establishing trust. Finally, it finishes profiling the Convergence Initiative's efforts to establish bridges across disciplines and communicating science with the public through art.

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)0.002
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.767
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0020.006
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 head0.128
GPT teacher head0.420
Teacher spread0.292 · 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