Storytelling in Optimizing the Learning of the History of Noah As
Bibliographic record
Abstract
Background. As Muslims, we are obliged to study knowledge to be a provision in life, one of which is history. History is an event that happened in the past that we can learn and take lessons from for future life. Purpose. Derived from Arabic, syajarah, which means tree. Like a small seed that can grow as a big tree. History is considered to bring change, that's why history must be studied. Especially the history of the Prophets and Messengers. Method. . It is very important for children to learn in order to get the wisdom and advice contained therein. Results. Apart from gaining knowledge from formal education, non-formal education is also important for children. Non-formal education is present as a complement to formal education, namely to fulfill certain aspects that are not given in formal education. Conclusion. To fill the school void in certain aspects, it is good that parents can look for alternatives from non-formal education, one of which is by enrolling children in the Al-Qur'an Education Park. Taman Pendidikan Al-Qur'an or commonly abbreviated as TPA.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.026 | 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 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".