Pendampingan Pembuatan Wastafel Portable Pedal Kaki Bagi Bengkel Las Sebagai Upaya Memutus Penyebaran Covid-19
Bibliographic record
Abstract
Pandemik Covid-19 masih terus berlangsung sejak pertama kali terdeteksi di Wuhan, China, akhirDesember 2019. Pola penyebarannya kian meningkat dan tidak mengenal umur serta iklim sehinggaberbagai negara memberlakukan aturan protokoler kesehatan yang ketat Social Distancing, PhysicalDistancing, anjuran memakai masker dan tak kala pentingnya sesering mungkin mencuci tangan.Kegiatan pengabdian pendampingan pembuatan wastafel portable merupakan wujud kolaborasiantara bengkel las dan akademisi Teknik Mesin Universitas Halu Oleo Kendari. Metode pengabdianmemberikan pendampingan pembuatan wastafel bagi tukang las dalam rangka memutus penyebaranCovid-19 yang telah memasuki Era New Normal di Wilayah Kendari. Hasil pengabdian terlaksanadengan baik dalam suasana pandemik Covid-19 dengan tetap memperhatikan protokol kesehatan,pihak mitra Bengkel Las Mekar Surya dan Bengkel Las Fajar sangat antuasias mengikuti programpendampigan. Program pendampingan ini juga melibatkan mahasiswa yang memiliki kompentensilas, sehingga melalui pengabdian dapat terjalin saling tukar informasi dan pengalaman kerja sebagaisolusi meningkatkan kreativitas dan inovasi bagi bengkel las dimasa pandemik Covid-19 di KotaKendari.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.078 | 0.020 |
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".