Bibliographic record
Abstract
Almost everyone knows what the term "anorexic" means.We may even know someone who suffers from the condition.But few know what it's like to watch a loved one suffer and die from the disorder, much less their own mother.Alumna Lou Gill Ballman ('99) knows the pain of that experience, and is trying to help other girls and women avoid the deterioration that claimed her own mother's life at age 67.In honor of her mother, Ballman; her father, George Gill; and her three brothers have established The Gurney Fund with a $30,000 donation to WSU Vancouver.The funds will be used to raise awareness and understanding of eating disorders in the greater Vancouver community.Dr. Lori Irving, associate professor of psychology, already oversees several local eating disorder programs.She will spearhead this additional effort to help prevent potentially lifethreatening problems and promote the message of positive body image and self-esteem.Jane Gill, called "Gurney" by her grandchildren (a nickname coined because the eldest grandchild couldn't pronounce "Grandma"), was the mother of four.She stood 5 feet 5 inches tall and weighed 120 pounds.At age 52, Gill began dieting and attending aerobics classes because she wanted to improve her fitness and health.Somewhere in the process, the disorder took control of Gill and she spiraled downward, both in weight and health.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.700 | 0.522 |
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; the direct Gemma label and the distilled Codex classifier 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".