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
Community engaged learning involves using knowledge to provide solutions to community needs and is widely integrated in higher education across North America.These experiences connect community service with academic study, and the reported benefits include enhanced academic learning, promotion of skills and knowledge needed for leadership, an increased sense of civic responsibility in students, and development of an inquiring mind and imagination.Community engaged learning may be of particular interest in graduate level studies, as students are focused on the development of skills that will be of value in their chosen vocations.In this paper, we describe the development, activities, and impact of a community engaged project called FoodUCation from the graduate student perspective.The mission of the FoodUCation program is "to promote a novel approach to healthy eating known as 'lifestyle medicine', which focuses on food consumption for optimizing health and performance".The FoodUCation project was developed as part of a one-semester graduate course and was piloted in a local elementary school community partner.Student responses to the FoodUCation project were very positive, and resulted in extension of the project beyond the course in which it was developed.Overall, the experience of the graduate students was highly positive, and demonstrates that graduate level community engaged learning creates unique opportunities for students to learn and develop relationships and skills that have tangible benefits.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.000 | 0.000 |
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