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Record W2554692124 · doi:10.20885/jstl.vol2.iss2.art1

Pengembangan ”RWH” dari aspek ”WTP” dan ”ATP”: Studi Kasus Yogyakarta

2010· article· ms· W2554692124 on OpenAlex
Widodo Brontowiyono, Ribut Lupiyanto

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJurnal Sains &Teknologi Lingkungan · 2010
Typearticle
Languagems
FieldEnvironmental Science
TopicCoastal Management and Development
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsForestryEnvironmental scienceGeography

Abstract

fetched live from OpenAlex

Rainwater harvesting (RWH) secara teknis dan ekologis layak dikembangkan di Kartamantul (Yogyakarta, Sleman dan Bantul) DIY dalam bentuk sumur resapan, penampungan air hujan (PAH), kolam konservasi, vegetasi, dan lahan terbuka. Penelitian bertujuan untuk menganalisis kelayakan sosial ekonomi RWH. Kelayakan sosial ditentukan dengan metode Willingness To Pay (WTP) melalui penelitian survey. Kelayakan ekonomi ditentukan dengan metode Cost Benefit Ratio (CBR) dan Ability To Pay (ATP). Hasil penelitian menyimpulkan bahwa teknik RWH yang layak secara sosial ekonomi di daerah surplus dan daerah kritis antropogenik adalah sumur resapan, kolam konservasi, vegetasi, biopori, dan lahan terbuka, sedangkan untuk daerah kritis alami adalah penampungan air hujan.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.437
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.004

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 head0.014
GPT teacher head0.238
Teacher spread0.225 · 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