MétaCan
Menu
Back to cohort
Record W2971874055 · doi:10.23887/jiis.v4i1.13925

SENA SAKTI (Sekolah Bencana; Siaga, Aksi dan Mitigasi)

2018· article· id· W2971874055 on OpenAlexaff
Qoidul Umam, Fahyumi Rahman

Bibliographic record

VenueJurnal Ilmiah Ilmu Sosial · 2018
Typearticle
Languageid
FieldSocial Sciences
TopicEducation and Critical Thinking Development
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyPhysicsArt

Abstract

fetched live from OpenAlex

Adapun tujuan penelitian ini adalah (1) Untuk menganalisis penanggulangan bencana tanah longsor berbasis komunitas sekolah dasar, (2) untuk menyusun strategi penyampaian pengetahuan dan keterampilan mitigasi bencana, (3) untuk mengetahui metode yang digunakan guru untuk memberikan pemahaman tentang bencana tanah longsor dalam pembelajaran. Metode yang digunakan dalam penulisan ini adalah pendekatan kualitatif dengan melakukan kajian melalui sumber empirik dan studi kepustakaan. Teknik pengumpulan data dilakukan dengan studi pustaka, studi dokumen, observasi dan wawancara kepada stakeholder terkait yaitu salah satu kepala sekolah dasar di Desa Gitgit. Hasil pembahasan menunjukkan bahwa penanggulangan bencana longsor di Sekolah Dasar dapat dilakukan dengan membentuk komunitas yang terdiri dari (1) agen sosialisasi bencana, (2) agen pertolongan pertama, (3) agen informasi dan komunikasi pasca bencana. sedangkan strategi pengetahuan dan keterampilan mtigasi bencana dilakukan dengan pelatihan keterampilan pertolongan pertama, pembentukan komunitas dan simulasi bencana. Pemahaman tentang bencana longsor diberikan kepada siswa dilakukan terintegrasi pembelajaran di kelas serta memasukkan peran kearifan lokal yang mendukung sebagai upaya dalam memanfaatkan kearifan lokal. Kata kunci: Komunitas, Sekolah Dasar, dan tanah longsor

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, 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 score0.532
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 studies0.0020.002
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.026
GPT teacher head0.326
Teacher spread0.300 · 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

Citations9
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJurnal Ilmiah Ilmu SosialSame topicEducation and Critical Thinking DevelopmentFrench-language works237,207