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Record W4400170072 · doi:10.36040/pawon.v8i1.9180

RUANG SETARA: KAJIAN IMPLEMENTASI FITUR UTAMA BANGUNAN FASILITAS PENDIDIKAN TINGGI

2024· article· id· W4400170072 on OpenAlexaff
Moh. Syahru Romadhon Sholeh, M. Nelza Mulki Iqbal, Heickal Muhammad Aqil Biladt

Bibliographic record

VenuePawon Jurnal Arsitektur · 2024
Typearticle
Languageid
FieldArts and Humanities
TopicArchitectural and Urban Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsTraditional medicineMedicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.004

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.

Opus teacher head0.028
GPT teacher head0.259
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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