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Record W2991459412 · doi:10.37012/jik.v11i2.78

LANSIA DALAM MENGHADAPI BENCANA DI KOTA BOGOR

2019· article· id· W2991459412 on OpenAlexaff
Suwarningsih Suwarningsih, Luvita Nurwidiasmara, Zakiyah Mujahidah

Bibliographic record

VenueJurnal Ilmiah Kesehatan · 2019
Typearticle
Languageid
FieldMedicine
TopicPublic Health and Nutrition
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsHumanitiesMedicineGynecologyPhilosophy

Abstract

fetched live from OpenAlex

Bencana merupakan situasi yang tidak terduga, dimana dalam kondisi tersebut bisa terjadi kerusakan, kematian atau kehilangan harta benda. Pengetahuan dan sikap lansia dalam menghadapi bencana sangat dibutuhkan untuk mencegah terjadinya korban jiwa. Penelitian ini dilakukan bertujuan untuk mengetahui hubungan pengetahuan dan sikap lansia dalam menghadapi bencana. Metode penelitian ini menggunakan desain cross sectional. Penelitian dilakukan di wilayah Kampung Babakan Peundeuy Kota Bogor Jawa Barat. Hasil penelitian didapatkan ada hubungan bermakna antara pengetahuan dan sikap (p value = 0.004) pada lansia dalam menghadapi bencana. Saran untuk penelitian ini yaitu diharapkan adanya program peningkatan pengetahuan dengan mengadakan pelatihan dan pemberdayaan lansia dalam menghadapi bencana di Kota Bogor.  Kata Kunci: Bencana, Lansia, Pengetahuan, Sikap

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)0.001
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 score0.346
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.004

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 head0.015
GPT teacher head0.286
Teacher spread0.271 · 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 designObservational
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

Citations6
Published2019
Admission routes1
Has abstractyes

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