Sosialisasi Perencanaan Pembangunan Kampung Bagi Mahasiswa Peserta KKN Tahun 2018 Fakultas Ekonomi Dan Bisnis Universitas Cenderawasih
Bibliographic record
Abstract
The objectives of the Village Development Planning Socialization Activities for Students of the Year 2018 KKN Participants are the Faculty of Economics and Business, University of Cenderawasih are: 1) Increased knowledge of participants about the village development planning process in accordance with applicable regulations; 2) Increasing participants' knowledge about planning models that can be applied in the village development planning process; 3) Increased participants' knowledge about synchronization and consistency between planning, budgeting, implementing, and monitoring government programs from village to district levels. The method of applying science and technology is to carry out seminars with adult learning methods. The results of the implementation of this activity indicate that there was an increase in the training participants' ability / understanding by 24.65 percent related to 1) the village development planning process in accordance with applicable regulations; 2) planning models that can be applied in the village development planning process; and 3) synchronization and consistency between planning, budgeting, implementing, and monitoring government programs from the village to the district level. As many as 96 percent of participants attended the training, while 2 percent did not attend training.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.018 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".