MENGEMAS PESONA HERBAL DALAM PEMBELAJARAN IPA SEBAGAI UPAYA MENUMBUHKAN KESADARAN LINGKUNGAN
Bibliographic record
Abstract
Herbs are one of the natural wealth of Indonesia that has been used for generations. But unfortunately, the prestige is so legendary that the less there is a follow up. Not many young people who know the herbs and usefulness. This is due to the progress of society with owned facilities have come to globalizing mainstrem life in the 21st century, including the handling of health problems. Beauty of herbs need to be preserved because the longer it is already fading, and fear that the future will be lost. It can be anticipated by utilizing the "Beauty of Herbs" in science lessons. Learning science can do to help raise environmental awareness education to be able to face the challenges of the environmental crisis in the 21st century with "linking knowledge to action".Keywords: beauty of herbs, learning science, environment awareness.
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How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".