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Record W2796386239 · doi:10.24036/scs.v4i2.24

PENGEMBANGAN MATERI AJAR SOSIOLOGI TENTANG MITIGASI BENCANA BERBASIS KEARIFAN LOKAL DI KOTA PADANG

2018· article· id· W2796386239 on OpenAlexaff
Erianjoni Erianjoni

Bibliographic record

VenueJurnal Socius Journal of Sociology Research and Education · 2018
Typearticle
Languageid
FieldSocial Sciences
TopicMulticultural Education and Local Wisdom
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsSociologyPhilosophy

Abstract

fetched live from OpenAlex

Dalam materi sosiologi di SMA terdapat Kompetensi Dasar tentang pemberdayaan masyarakat dan kearifan kokal, salah aspek yang dibahas adalah tentang kearifan lokal dalam bencana alam. Tulisan ini berangkat dari hasil penelitian yang bertujuan untuk mengembangkan materi ajat tentang mitigasi bencana, karena materi ajar yang ada pada buku paket Sosiologi di SMA masih bersifat tektual dan belum kontekstual dengan kondisi sosio-budaya masyarakat. Penelitian ini dilakukan di Kota Padang, dengan pendekatan kualitatif. Pemilihan infoman dilakukan dengan teknik purposive sampling. Pengumpulan data menggunakan teknik wawancara mendalam dan terstruktur, observasi partisipasi pasif, Focus Group Discussion, dan studi dokumen. Hasil dari penelitian ini; Sebagai strategi untuk mengembangkan materi ajar tersebut dengan studi kasus nilai-nilai kearifan lokal Minangkabau dapat dilakukan dengan cara melalui aktivitas (1) mengidentifikasi nilai-nilai kearifan lokal yang terkait dengan materi ajar sikap, pengetahuan dan keterampilan, (2) mengintegrasikan dengan RPP, bahan ajar, LKS, dan modul

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.007
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.434
Teacher spread0.349 · 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 designQualitative
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

Citations10
Published2018
Admission routes1
Has abstractyes

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