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Record W2467747915 · doi:10.5216/vis.v13i2.34274

Interdisciplinary for Social Engagement: Art and Design Experimental Study

2016· article· pt· W2467747915 on OpenAlexaff
Hope Angelique Wells, Lyubava Fartushenko, Andrew Chamberlain

Bibliographic record

VenueVisualidades · 2016
Typearticle
Languagept
FieldEnvironmental Science
TopicEnvironmental Sustainability and Education
Canadian institutionsUniversity of WaterlooUniversity of Alberta
Fundersnot available
KeywordsHumanitiesSociologyArt

Abstract

fetched live from OpenAlex

Num mundo em contínuas transformações e com uma população acima dos sete bilhões, igualdade social e sustentabilidade ambiental requer inovações e soluções inclusivas. Hoje, práticas interdisciplinares no campo da arte e do design têm capacidade de sensibilização social e engajamento em questões relacionadas com a saúde. Arte e design combinam métodos artísticos tradicionais com tecnologia e sistemas interativos com vistas a comunicar pesquisas científicas cujos objetivos sejam a resolução de problemas. Processos interdisciplinares de criação abrem portas a uma variedade de esforços colaborativos na busca de soluções proativas para questões ambientais e sociais.Palavras-chave: consciência social, arte e design, pesquisa interdisciplinar

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)0.035
metaresearch head score (Gemma)0.066
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.185

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.066
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0040.008
Scholarly communication0.0060.003
Open science0.0030.005
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0320.002

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 head0.063
GPT teacher head0.375
Teacher spread0.312 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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