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
Student engagement has been an important discourse in higher education, and researchers have determined that engagement in educational activities is vital for student retention. Retaining students in learning is crucial in a stressful healthcare environment, hence the need to identify the associated engagement factors. Concept mapping offers students a realistic venue for critical thinking, clinical reasoning, and engagement in educational activities. Building on the results obtained from a basic qualitative study where, interviews and journals were analyzed, we examined the theoretical basis for students’ engagement during concept mapping in a flipped clinical learning. Accordingly, this article discusses the factors that influenced engagement while concept mapping within a stressful healthcare clinical learning environment and explains how the process of mapping patient care improved students’ engagement in learning. The impacts of concept mapping process went beyond participation to self-direction, higher-level thinking, and greater impact on clinical decision making for the student participants.
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) | 0.002 | 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