Education of Exemplarity in Building Inclusive Villages
Bibliographic record
Abstract
The purpose of this paper is to describe the conscious and planned efforts undertaken by the Village Government together with the Village Deliberation Agency (BPD) and the community elements of Sawangan Wetan Village, Patikraja District, Banyumas Regency, Central Java Province, in striving to transform themselves into an inclusive village. This research employs a qualitative research approach with a descriptive method. Data collection techniques include observation, interviews, and documentation. The findings of this paper indicate that education of exemplarity in realizing inclusive villages must be carried out simultaneously by all parties involved in the village, including the Village Government, BPD, village institutions, and community elements. Exemplary education as an effort to achieve inclusive villages in Sawangan Wetan Village should begin with the example set by the Head of Village. The Head of Village is the highest leader of the village who must provide the best examples in terms of mindset, attitude, and actions in village development and community empowerment activities. The purpose of setting these examples is to inspire and motivate the Village Apparatus, BPD, and community elements to emulate the working pattern of the Head of Village. Therefore, the conclusion drawn from the education of exemplarity in realizing inclusive villages in Sawangan Wetan Village is that the initiative must begin with continuous exemplary leadership from the Head of Village, who is the highest leader in the village. These examples should then serve as inspiration and be emulated by other village elements to collectively build the village.
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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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".