The Learning Center Development to Create Knowledge, Awareness and Appreciation Value of Medicinal Plants in Mahasarakham University Demonstration School (Secondary)
Bibliographic record
Abstract
The establishment of a learning center at Mahasarakham University demonstration school (secondary) is to enhance knowledge, understanding, and volunteerism about the protection of medicinal plants. The establishment of a learning center for medicinal plants at the school involves organizing activities to cultivate species such as Solanum trilobatum L., Solanum indicum L., and Cissus quadrangularis L. A cohort of 40 students volunteered to engage in these activities, which were promoted through various initiatives, including training sessions on the cultivation of medicinal plants, lectures on their cultivation and applications, and study visits to the Pharmacy Faculty at Mahasarakham University to explore the production of herbal products, extraction of herbal compounds, and the manufacture of medicines and medical supplies derived from medicinal plants. The instruments employed for data collection included the knowledge assessment of medicinal plants test, the awareness and valuation of medicinal plants questionnaire, and the volunteer measurement test. The findings indicated that students exhibited the highest overall knowledge of the establishment of herbal plant learning centers in schools following their participation in the activity. The mean awareness score post-activity was significantly greater than pre-activity, with a statistical significance at the .05 level. The comparison study revealed that students’ average knowledge scores post-activity significantly exceeded their pre-activity scores, with statistical significance at the .05 level. The comparative analysis of average volunteerism in organic agriculture and environmental conservation revealed that students exhibited a statistically significant increase in their volunteerism scores after participating in the activity, compared to their scores prior to participation, at the .05 level.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".