From Politics to the Mataraman Cultural Stage: Fragments of Magetan History in the XVII-XX Centuries
Bibliographic record
Abstract
The historical trajectory of East Java, particularly Magetan, is intricately linked with the broader political and cultural developments of Central Java and Yogyakarta, especially since the Hindu-Buddhist era and the subsequent rise of Mataram Islam. This research investigates how historical political dynamics have shaped contemporary cultural identities in the Magetan region. Through a historical approach and the analysis of various archival sources, the study examines key political events, including the conquest of Kanitèn, the Trunojoyo rebellion, and the Chinese Insurrection, and their impacts on Magetan. The findings reveal that the political maneuvers of Mataram Islam, coupled with Dutch colonial intervention, significantly influenced the cultural landscape in Magetan. The concept of keagungbinataraan mandated Magetan’s allegiance to the Yogyakarta Sultanate, resulting in the adoption of Mataraman culture as an expression of loyalty. The political rivalry between the Surakarta and Yogyakarta palaces intensified cultural contestations, with Magetan predominantly aligning with the Yogyakarta Sultanate, as evidenced by the prevalent use of the slendro-tuned gamelan. These results underscore the enduring influence of historical political events on Magetan’s cultural identity, which continues to evolve in the present day.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".