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
Cornell CooperativeExtension/College of Human Ecology internship to work with FSAD faculty on the project Smart Clothing Applications for Youth Programs.She will develop five 2-hour activities that explore material properties, design principles, construction techniques, and electronics, and will bring those experiences together with a real-world take-home project.Emily will test these activities with middle school girls at 4-H Camp Bristol Hills in Ontario County and Hidden Valley 4-H Camp in Schuyler County.Assessments from these experiences will help guide the development and implementation of a Smart Clothing curriculum for youth.Smart clothing is much in the news these days, particularly in sports, medical, and military applications.Emily is well suited for this opportunity.She is a member of the Cornell Fashion Cooperative and contributed to the 2010 Feedbak/Pendleton apparel line.In the spring of 2010, she participated in an apparel research project, learning to use the 3D body scanner, 3D Optitex software, and Optitex patternmaking techniques to develop virtual garments.She has made and altered costumes
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 | 0.001 | 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) | 0.001 | 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