Bibliographic record
Abstract
Rachel Wilson -born in Missouri 1979. Wife, Mother of 4, Artist... Is a painter turned sculptor. Rachel has always loved art and has been painting and drawing for as long as she can remember. Since 2009 Rachel has received national attention for her "Found Wood Sculptures". She has work in private collections in Canada, Florida, Kansas, Ohio, California, Illinois, Kentucky, Colorado, Missouri, and Texas. In 2010, Rachel was invited to the "Altec World Equestrian Games" in Lexington KY. She has had solo exhibits at "The Titanic Museum" and "Silver Dollar City "in Branson MO in 2010 & 2011. Most recently she was invited to exhibit at the Plantating Wildlife Arts Festival in Thomasville GA as one of the top 70 wildlife artists in Northern America. Rachel feels emotions and movement are expressed and understood best through somewhat abstract expressions. "Angus wood 60" x 29" x 84"
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.023 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.009 | 0.013 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.036 | 0.001 |
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; both teacher heads agree on what is shown here.
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".