MOBILE TRAINING UNIT MANAGEMENT IN YOUTH EMPOWERMENT IN MUSHROOM CULTIVATION TRAINING AT UPT WORK TRAINING CENTER, JEMBER
Bibliographic record
Abstract
In this modern era, there are many problems that arise in the community, one of them is the difficulties to find a job because of lack experience. Training is very important to our lives. Nowdays, there are a lot of training institutes. However, the majority of the training institutions are located on the town while Therefore, come up a innovation that is Mobile Training Units (MTU) that will be an innovation for them who are still got difficulties to reach the training location. This research used a qualitative. UPT BLK Jember is a research area using purposive area, observations, interviews, and documentations. The technique of determining the research participants is using a snowball sampling, then the informant is the management and participant . The data analysis is done by using Miles and Huberman models i.e. data collection, data reduction, data percentation, and conclusions. The conclusion of this research is management that is conducted by the instructor of UPT BLK has been effective and efficient in empowering the trainees.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".