Bibliographic record
Abstract
Lulusan Sekolah Menengah Kejuruan diharapkan: (1) bekerja pada bidang pekerjaan yang sesuai dengan bidang kejuruannya, (2) melanjutkan pendidikan ke tingkat yang lebih tinggi, dan (3) berwirausaha. SMK Bangunan harus mampu membuat lulusannya menciptakan laangan kerja. Hal ini dapat dicapai salah satunya dengan mengintegrasikan kewirausahaan ke dalam pembelajaran mata pelajaran produktif. Ada tiga rumusan masalah, yaitu: (1) bagaimana mengimplementasikan standard kometensi dan kompetensi dasar, silabus kerja batu? (2) bagaimana integrasi mata pelajaran kewirausahaan ke dalam mata pelajaran produktif? (3) bagaimana pengembangan RPPnya? Langkah-langkah integrasi meliputi: (1) identifikasi elemen kewirausahaan, (2) identifikasi pengetahuan, keterampilan, sikap, dan nilai, (3) mengklasifikasi di dalam bentuk topic dan tema, (4) identifikasi kompetensi dasar, (5) menemukan strategi belajar, (6) revisi, (7) uji coba. Kesimpulan: (1) mata pelajaran kewirausahaan dan mata pelajaran produktif untuk praktik kerja konstruksi dan beton dapat diintegrasikan, (2) Hasil integrasi dapat meningkatkan kesiapan siswa, (3) (2) Product integration can foster entrepreneurship student readiness. ENTREPRENEURSHIP LEARNING MATERIAL INTEGRATION INTO VOCATIONAL SUBJECTS IN BUILDING TECHNOLOGY STUDY PROGRAMAbstractVocational School graduates should be able to: (1) work in the vocational field in accordance with the disciplines learned, (2) pursue at higher levels of education, and (3) Entrepreneurial. SMK Building should be able to make the graduates able to find a job or to create jobs by him/herself.". Three problems are formulated, namely: (1) how the implementation of standards of competence and basic competencies (SK-KD), syllabus of vocational subjects of masonry and concrete work? (2) How is the integration of entrepreneurial subjects in the subject field of masonry and concrete productive? (3) How is the development of Learning Implementation Plan (RPP). Integration steps: (1) to identify elements of entrepreneurship (2) to identify knowledge, skills, attitudes and values (3) classify in the form of topic / theme, (4) to identify the basic competencies (5) creating a learning strategy, (6) Revised, (7) trial. Conclusions: (1) entrepreneurship subjects with subjects productive field stone and concrete work practices can be integrated, (2) Product integration can foster entrepreneurship student readiness.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.027 | 0.009 |
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".