Bibliographic record
Abstract
Pond/Map 2023, Handmade Abaca Paper and Pigment, 23"x 24"x 2.5". Elizabeth Mackie is an interdisciplinary artist working in handmade paper, sculpture, installations, photography, video, sound, and textiles. Elizabeth has exhibited her artwork and videos in various institutions throughout the United States and abroad, including Japan, Taiwan, Australia, Bulgaria, England, Canada, Austria, Poland, Spain, Denmark, France, Italy, Republic of Cyprus, Germany, Israel, Chile and Brazil. Current exhibitions include EARTHSPEAK: Giving Voice to Paper, International Biennial for Paper Fibre Art 2023/24, National Taiwan Craft Research and Development Institute (NTCRI); IAPMA Congress exhibition: Paper Alive, Dresden, Germany; and Mother Nature vs Human Nature: The Inequity of Climate Resilience, 2023 New Jersey Arts Annual. Shared Obessions | NAHP Members' 2023 Annual Showcase exhibit on view at the RISD Color Lab, 30 North Main St., Providence, RI in conjunction with the opening reception ceremony held on the 2nd floor of the RISD Fleet Library, 15 Westminster St. Providence, RI. Additional work displayed at the RISD Fleet Library.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.751 | 0.499 |
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".