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Record W4312716899 · doi:10.29138/ijebd.v4i5.1528

Bali Economic, Mobility, Transportation and Hotels to The end of 2021 Tren

2021· article· en· W4312716899 on OpenAlexaboutno aff
DR MUHAMMAD IKHSAN SETIAWAN ST, Ronny Durrotun Nasihien, Mohd Adib Mohammad Razi, Wahyu Mulyo Utomo, Muhammad Isradi, Agus Sukoco

Bibliographic record

VenueIJEBD (International Journal Of Entrepreneurship And Business Development) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity-based Tourism Development and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)TourismCoronavirus disease 2019 (COVID-19)Shock (circulatory)GeographyPandemicEconomic recoveryEconomic impact analysisSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)2019-20 coronavirus outbreakBusinessSocioeconomicsDemographic economicsEconomicsMedicine

Abstract

fetched live from OpenAlex

Purpose: Based on the Bali Economic Quarterly Development document for the second quarter of 2021 by BPS, the Covid-19 pandemic has become a greater distortion when compared to past events in the Province of Bali. The economic crisis in 1998, the Bali Bombing I in 2002, the Bali Bombing II in 2005, and the eruption of Mount Agung in 2017 can have a lighter impact Design/methodology/approach: Restrictions on transportation routes and calls to stay at home recommended throughout the country should negatively shock the tourism sector Findings: This number experienced a decrease of 7 visits or a decrease of -28.00 percent compared to the previous quarter. The decline in Bali tourism on a quarter to quarter basis is also in line with year on year conditions. Paper type: Research paper

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0240.007

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 head0.280
Teacher spread0.264 · 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 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

Citations0
Published2021
Admission routes1
Has abstractyes

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