RUANG SETARA: KAJIAN IMPLEMENTASI FITUR UTAMA BANGUNAN FASILITAS PENDIDIKAN TINGGI
Bibliographic record
Abstract
Kesetaraan menjadi salah satu isu yang paling sering dibicarakan di Indonesia dan juga dunia global. SDGs (Sustainable Development Golas) sebagai tujuan utama negara-negara berkembang memiliki semangat No One Left Behind, yang artinya tidak akan ada satupun yang terlewatkan atau semua memiliki hak yang sama (setara). Isu tentang kesetaraan terjadi diberbagai aspek, salah satunya adalah kesempatan untuk setiap individu dalam mendapatkan pendidikan. Isu tentang pendidikan tidak hanya menyoal sistem, akan tetapi juga terkait infrastruktur. Infrastruktur pendidikan secara fisik di Indonesia umumnya sudah baik, akan tetapi banyak yang tidak memperhatikan nilai inklusif. Salah satu contohnya adalah ketersediaan fitur utama bangunan seperti parkir, jalur pejalan kaki, ramp dan tangga yang tidak standar, pemilihan jenis material lantai belum memperhatikan nilai inklusif. Penelitian ini merupakan penelitian kualitatif dengan metode pengumpulan data survey dan observasi lapangan. Penelitian ini bertujuan untuk mengkaji fitur utama bangunan Kampus II ITN Malang dengan parameter desain inklusi.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.046 | 0.010 |
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".