Philantrophy in Education of Religious Tolerance in Kurikulum Merdeka at Elementary School Temanggung District
Bibliographic record
Abstract
The multicultural Indonesian nation consisting of various tribes, languages, ethnicities, cultures, and religions must uphold tolerance education. including the implementation of the "Kurikulum Merdeka" in educational units in schools. Various cases of religious intolerance show a lack of voluntary action through an understanding of the treatment of volunteerism for social purposes through love (philanthropy) in the form of acts of generosity (compassion). This paper discusses the Philanthropy of Religious Tolerance Education in the Implementation of the "Kurikulum Merdeka" at Al-Kautsar Elementary School and Pangudi Utami Elementary School.This research qualitative field research with a data collection approach through observation, interviews, and documentation. Data analysis techniques in this study are data reduction, data presentation, and conclusion. The results of the study show that philanthropy is always closely related to things that are engaged in charity or are closely related to material elements. This narrow view is currently beginning to erode, especially with the increasing interest of school students in philanthropic activities which are closely related to the behavior of those who do them out of concern. The meaning of philanthropy is expanding and developing. Philanthropic activities are increasingly organized and directed. During modern currents, forms of philanthropy emerge in society, one of which is philanthropy in implementing “Kurikulum Merdeka” with two different schools with students from Pangudi Utami Catholic Elementary School and Al Kautsar Islamic Elementary School.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".