Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
in the OLympiC Games, there's no getting around the magnitude of the moment, which arrives presenting two choices -seize the opportunity or shrink from it.When that time came, the years of hard work, commit ment and sacrifice building to a crescendo, Cal poly graduates Stephanie Brown Trafton (IE '04) and Gina Ostini Miles (CRSC '97) delivered the performances of a lifetime.trafton, 28, entered the Beijing Games with the third-best discus throw in the world in 2008.she left with the gold medal after uncorking a 212-foot, 5-inch effort on her first throw, a mark that won by nearly four feet and gave the United states its first Olympic victory in the women's discus since Lillian Copeland's win in 1932.miles, 34, and her 14-year-old, 1,410-pound horse, mckinlaigh, earned a silver medal in eventing, an equestrian competition that combines dressage, cross country and show jumping.They did it with a flawless final-day performance in hong kong, handling an eight-jump course cleanly to move onto the medal stand.Both thrower and rider were inspired by the 1984 Olympics in Los angeles.trafton, then 4, watched gymnast mary Lou retton dazzle and wanted to be an Olympian.miles, then 10, attended the Los angeles Games and fell in love with eventing.making it to the Olympics is an accomplishment in itself.also competing in the Beijing Games were former Cal poly high jump er Sharon Day (KINE '08) and former mustang first basemanoutfielder Jimmy Van Ostrand (KINE), who played for Canada.Cal poly swimmer Mark Barr (NUTR) is scheduled to compete in the 2008 Beijing paralympic games in september.trafton and miles savored incredible outcomes.as she en tered the discus ring for that fateful throw, trafton tried to clear
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.
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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it