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Record W7016016837

WSUVista, Spring 2000

2020· other· en· W7016016837 on OpenAlexaboutno aff

Bibliographic record

VenueResearch Exchange (Washington State University) · 2020
Typeother
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsnot available
Fundersnot available
KeywordsHonorDietingSpring (device)George (robot)Donation
DOInot available

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.021
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.070
GPT teacher head0.314
Teacher spread0.244 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2020
Admission routes1
Has abstractyes

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