Upaya Peningkatan Kapasitas Guru SMP Pius Cilacap dalam Mendampingi Remaja Sebagai Generasi Digital Native untuk Memelihara Kesehatan Reproduksi
Bibliographic record
Abstract
Generasi digital native berpotensi menyerap informasi salah dari internet mengenai kesehatan reproduksi. Guru perlu mengoptimalkan kelebihan mereka sebagai tenaga professional yang dekat dengan remaja, yakni kemampuan menyampaikan informasi ilmiah kepada siswa dengan memperhatikan aspek perkembangan psikologis usia remaja awal. Kegiatan pengabdian masyarakat di SMP Pius Cilacap bertujuan untuk menjawab kebutuhan peningkatan kapasitas guru dalam menjalankan peran sebagai sumber informasi dan fasilitator diskusi dengan siswa dan orangtua siswa terkait pemeliharaan kesehatan reproduksi remaja. Workshop dilaksanakan melalui penyampaian materi aspek medis dan psikologis kesehatan reproduksi remaja serta sesi bermain peran, dengan fokus pada penerapan teknik I message. Terdapat peningkatan pengetahuan sebesar 19,42 poin atau sebesar 24,72% pada post-test dibandingkan pre-test. Pihak mitra menyatakan kepuasan mereka atas penyelenggaraan kegiatan tersebut dan mengharapkan agar kegiatan serupa dapat dilaksanakan secara serial. Fokus topik kesehatan reproduksi remaja yang dapat diprioritaskan adalah terkait topik hubungan seksual dan kehamilan serta topik pubertas pada perempuan dan menstruasi.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.010 | 0.008 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.146 | 0.048 |
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".