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Record W4320007219 · doi:10.12962/j25023659.v8i3.14831

Penaksiran Risiko Bencana Gempa Bumi Di Kecamatan Bonto Bahari Kabupaten Bulukumba

2022· article· id· W4320007219 on OpenAlexaff
Harry Hardian Sakti, Andi Idham Asman, Despry Nur Annisa Ahmad, Muhammad Fakhruddin, Muhammad Isra

Bibliographic record

VenueJurnal Geosaintek · 2022
Typearticle
Languageid
FieldEarth and Planetary Sciences
TopicGeological and Geophysical Studies
Canadian institutionsEncana (Canada)WiLAN (Canada)
Fundersnot available
KeywordsHazardGeographyTourismVulnerability (computing)CartographyArchaeologyComputer securityComputer science

Abstract

fetched live from OpenAlex

The location of Bonto Bahari district on the fault of Walanae implicates a potential earthquake disaster. Bonto Bahari District on the spatial plan of Bulukumba in the year of 2012-2032 is set as a Regency Special Economic Zones (SEZs) for Marine tourism. Justifying the stipulation of the rules, it should be integrated into geological risk in order for sustainable development of tourist activities in the Bonto Bahari District. The purpose of this study are: (1) analyzing the hazard of an earthquake in Bonto Bahari district; (2) analyzing the vulnerability of earthquakes in Bonto Bahari district; and (3) analyzing the risk of earthquakes in Bonto Bahari district. The methods used are quantitative-qualitative and spatial analysis. Research shows maps of the hazard levels of earthquakes, maps of earthquake vulnerabilities, and maps of earthquake risk levels. The research is expected to provide input to local governments on taking early preparedness measures in response to the threat of an earthquake disaster in the Bonto Bahari district.

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), 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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.263
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0320.006

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 head0.018
GPT teacher head0.207
Teacher spread0.188 · 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

Citations3
Published2022
Admission routes1
Has abstractyes

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