The Community-Based Learning Model via Game Simulation to Promote Community Public Health Diagnosis Skills
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 community-based learning model via game simulation to promote community public health diagnosis skills, or CBL model via game simulation, is a research tool that was devised based on the concepts of public health diagnosis using the seven community tools (geo-social mapping, genogram, community organization chart, local health system, community calendar, local history, and life story) combined with the simulation game-based learning. The learning of this style encourages learners to learn and conduct activities in virtual environment of metaverse. In addition, it is believed that this will help promote learners’ community public health diagnosis skills and systematic thinking skills as well. This study is intended to design the CBL model via game simulation as a guideline to further develop the CBL system via game simulation with self-directed learning to promote community public health diagnosis skills. The sample group are nine experts who are experience in design of instruction models. The tools employed in this research consist of (1) the CBL model via game simulation, and (2) the evaluation form on the suitability of the CBL model via game simulation. This study shows that (1) the overall elements of the CBL model via game simulation is at highest level, and (2) the overall suitability of the elements of the CBL model via game simulation is at highest level as well.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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