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
Background. Health profession students require knowledge and skills in nutrition and physical activity for patient/client care and for their own wellness. This is generally lacking in their preprofessional didactic education. Method. Based on an environmental scan of health profession student education programs at our university and a conceptual framework based on adult learning theory and Kolb’s cycle, interprofessional stakeholders developed online learning modules on nutrition and physical activity for incorporation into course curricula by health science faculties. This process included articulating goals and objectives, with an outcome of enhancing student knowledge, skills, and attitudes (KSAs). Pilots of the modules included student KSA assessment and interviews/focus groups. Results. Designing learning modules on nutrition and physical activity for individualized implementation in different faculties was a priority. Two learning modules were developed and pilot-tested within one faculty. Pre- and posttests of student knowledge were used to assess effectiveness. Knowledge scores improved from pretest (54.7%) to posttest (68.2%, p < .001) for the module “Nutrition and Physical Activity Across the Life Cycle” but did not change significantly (pretest 76.3%, posttest 77.0%; p = .70) for the “Self-Health” module. Interviews/focus groups showed students perceived the two modules as influencing their learning of KSAs. Conclusions. This process addressed a curricular gap across health science faculties. The consensus-building design process helped focus curriculum priorities and develop a shared curriculum vision. Students demonstrated KSA learning as shown in their pre–post assessments and comments. Further module development and larger scale implementation and evaluation studies are proposed.
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 | 0.006 | 0.001 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.003 |
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