The Parents’ and Teachers’ Supports Role on Students’ Involvement in Scouting Program and Entrepreneurial Values—Longitudinal Studies on Students in Jombang, East Java, Indonesia
Bibliographic record
Abstract
Extracurricular activities are those that fall outside the realm of the normal curriculum of school. Extracurricular activities exist for all students. And generally, benefits of extracurricular activities shall be as follows: learning time management and prioritizing; getting involved in diverse interests; learning about long term commitments; making a contribution; raises self-esteem; building solid relationship skills; and looks great on school applications. In Indonesia schools, the extracurricular activities to do for the students have toughness, tenacity, confidence, and positive attitudes, and that shown in previous studies. The one of extracurricular activities is scouting program can be applied for schools in Indonesia. This study scrutinized the parents’ and teachers’ support students involvement in scouting, and to what extent the scouting program is able to develop entrepreneurial values. This study employed a longitudinal approach, and the data were taken during four semesters. The research findings showed that parents and teachers’ support simultaneously have significant effect on students' involvement in scouting program and on development of students’ entrepreneurial values. Likewise, teachers’ support has partial effect on students' involvement in the scouting, and partial effect of parents’ support on the development of the entrepreneurial values as well. As a conclusion, both parents and teachers play essential roles to support students’ involvement in scouting program and development of students’ entrepreneurial values.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".