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
The Expanding Your Horizons Network (EYHN), created in 1974 by a group of women scientists and educators in the San Francisco Bay Area, is the preeminent source for resources and experiences that provide focused engagement of middle school girls from all backgrounds in science, technology, engineering, and mathematics (STEM). At its core is the EYHN’s unique nationwide network of STEM conferences called Expanding Your Horizons (EYH). These conferences provide a gateway to empowering girls to see themselves as future participants in STEM and STEM-related careers. By engaging with female STEM role models and participating in hands-on activities, girls can envision themselves pursuing STEM education and careers. The Middle Tennessee State University (MTSU) EYH Conference was the first of five EYH conferences that currently operate in Tennessee. The conference, which addresses social and environmental factors that tend to shape girls’ interest in STEM, has introduced more than 7,200 girls to STEM careers since 1997. Data from MTSU EYH show a significant impact on the girls’ attitudes about STEM and STEM careers.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.352 | 0.041 |
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