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Record W3154814057 · doi:10.33579/rkr.v3i1.1586

Kearifan Lokal dalam Mitigasi Bencana di Wilayah Lereng Gunung Merapi Studi Kasus Kecamatan Cangkringan, Kabupaten Sleman

2021· article· id· W3154814057 on OpenAlex

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

VenueREKA RUANG · 2021
Typearticle
Languageid
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsForestryHumanitiesGeography

Abstract

fetched live from OpenAlex

Indonesia adalah negara yang rawan bencana geologis gempa bumi, tanah longsor, erupsi gunung api, dan tsunami. Sebagai konsekuensi kewajiban negara untuk melindungi rakyatnya maka pemerintah diharapkan mengambil langkah-langkah yang tepat untuk mengurangi risiko dan mempunyai rencana keadaan darurat untuk meminimalkan dampak bencana. Kesiapsiagaan dilakukan untuk memastikan upaya yang cepat dan tepat dalam menghadapi kejadian bencana. Tujuan dalam penelitian ini adalah merumuskan model konseptual living in harmony with disaster (mitigasi berbasis kearifan lokal) masyarakat lereng Gunungapi Merapi Kabupaten Sleman Provinsi Daerah Istimewa Yogyakarta. Sasarannya adalah mengidentifikasi kondisi eksisting masyarakat dalam aspek tanggap bencana dan mengidentifikasi pola proses mitigasi berbasis kearifan lokal masyarakat lereng Gungungapi Merapi Kabupaten Sleman yang disebut living in harmony with disaster dalam lingkup tata ruang kawasan. Metode penelitian secara studi kasus yang bersifat induktif-kualitatif eksploratif. Pola konseptual inilah yang akan dikembangkan menjadi model di kawasan-kawasan lereng gunungapi lainnya.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.022
GPT teacher head0.217
Teacher spread0.195 · 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