Bibliographic record
Abstract
Agents for Change/Facing the Anthropocene presented artworks in 2020 at THE MUSEUM Kitchener, Canada by women media artists working at the intersection of science, technology and art, with a focus on nature and ecological change – the greatest danger of our time. Responding to the global recognition of the importance of the creative voices and activism of women artists, this unique exhibition demonstrates progress towards improving gender representation in the media arts. Agentes para a Mudança / Enfrentando o Antropoceno apresentaram obras de arte em 2020 em O MUSEU Kitchener, Canadá, por mulheres artistas de mídia que trabalham na interseção de ciência, tecnologia e arte, com foco na natureza e na mudança ecológica - o maior perigo de nosso tempo. Em resposta ao reconhecimento global da importância das vozes criativas e do ativismo de mulheres artistas, esta exposição única demonstra o progresso no sentido de melhorar a representação de gênero nas artes da mídia.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.013 |
| Scholarly communication | 0.015 | 0.010 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.067 | 0.010 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".