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Record W3185843160 · doi:10.18196/ppm.26.539

Implementasi Pengurangan Risiko Bencana Di Sekolah

2021· article· id· W3185843160 on OpenAlexaff
Wahyu Widodo, Jazaul Ikhsan, Amin Sunarhadi

Bibliographic record

VenueProsiding Seminar Nasional Program Pengabdian Masyarakat · 2021
Typearticle
Languageid
FieldSocial Sciences
TopicDisaster Management and Resilience
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsPhysicsEngineering

Abstract

fetched live from OpenAlex

Sekolah/Madrasah merupakan tempat pengembangan model pendidikan pengurangan risiko bencana(PRB) yang melibatkan partisipasi siswa sebagai hak anak dalam aktivitas manajemen satuanpendidikan aman bencana (SPAB). Pendidikan pengurangan risiko dilakukan pada dua area, yaitumitigasi dan kesiapsiagaan. Tujuan kegiatan ini adalah menerapkan upaya mitigasi yang meliputistruktural maupun non struktural di sekolah MBS (Muhammadiyah Boarding School) Pleret.Permasalahan mitra adalah (1) sekolah belum melakukan kajian risiko bencana di sekolah, (2) belummemahami kesiapsiagaan dalam menghadapi bencana, (3) belum menyusun rencana aksipenanggulangan bencana di sekolah. Pengabdian dilakukan untuk meningkatkan mitigasi dankesiapsiagaan Sekolah melalui peningkatan kapasitas berbasis partisipasi. PRB di Sekolah tepatdiimplementasikan di MBS Pleret karena merupakan solusi dari permasalahan mitra sehinggadiharapkan menjadi bagian sistem pengelolaan sekolah yang berkelanjutan dan mandiri. Metode yangdigunakan berupa pelatihan/worlshop, FGD, dan survey lingkungan sekolah yang hasilnya diterapkanlangsung di sekolah.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.004

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 head0.333
Teacher spread0.305 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2021
Admission routes1
Has abstractyes

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