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Record W2999835949 · doi:10.36859/jap.v2i02.120

MEKANISME PENANGGULANGAN BENCANA ALAM OLEH PALANG MERAH INDONESIA (PMI) KABUPATEN BANDUNG

2019· article· id· W2999835949 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

VenueJurnal Academia Praja · 2019
Typearticle
Languageid
FieldComputer Science
TopicEdcuational Technology Systems
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsGeographyPolitical sciencePhysics

Abstract

fetched live from OpenAlex

Indonesia adalah negara yang rentan terhadap berbagai jenis bencana alam. Berbagai daerah di Indonesia mengalami hal tersebut, termasuk Provinsi Jawa Barat khususnya Kabupaten Bandung yang wilayahnya sangat rawan mengalami banjir, longsor, serta gempa. Mekanisme pemberian bantuan serta penanggulangan bencana sangat penting untuk dilaksanakan dengan cepat dan tepat untuk menghindari jatuhnya korban jiwa. Salah satu lembaga yang memiliki wewenang untuk menyalurkan bantuan kemanusiaan adalah Palang Merah Indonesia, yang mana dalam penelitian ini difokuskan pada Palang Merah Indonesia Kabupaten Bandung.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0040.001
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0000.004

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 head0.016
GPT teacher head0.252
Teacher spread0.237 · 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