The Law Politics in Indonesia’s Pancasila and Citizenship Education Curriculum Revitalization of 2013
Bibliographic record
Abstract
The curriculum is one component of education which is very important. It acts as a guide that program implementers use in real learning process. Dynamically, curriculum always change in order to lead to the improvement of the education system. On the subjects of Pancasila and Citizenship Education in schools for example, has undergone several changes in the curriculum, both in charge of its content and on its nomenclature, this change is needed in order to create a future generation that had Pancasila character embedded on their heart as stated in national education goals. However, in the process of Pancasila and Citizenship Education's curriculum change, it is undeniable that it is influenced by the current Law Politics as politics is what makes the rules. But what exactly is the influences of the law politics on Indonesia’s Pancasila and Citizenship Education Curriculum Revitalization Of 2013?. The studies conducteed on how the Law politics influence the revitalization of Pancasila and Citizenship Education curriculum showed that (1) the Directions of Pancasila and Citizenship Education curriculum revitalization in Indonesia leads to; (2) The basic foundation establishment and implementation of the curriculum in 2013's Pancasila and Citizenship Education subject (3) the Products of Pancasila and Citizenship Education curriculum revitalization in Indonesia. The result that is a model of a good Pancasila and Citizenship Education curriculum revitalization should be implemented, monitoring and evaluation needs to be done to determine the level of achievement and expected results. Monitoring and evaluation results will serve as a recommendation to develop and or improve curriculum that will come.
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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 | 0.003 | 0.006 |
| 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 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".