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Record W4312733240 · doi:10.29138/ijebd.v4i5.1520

Bali: Tourism Economy The End Of 2021, Will Fly High Again?

2021· article· en· W4312733240 on OpenAlexaboutno aff
I Nyoman Sudapet, Ronny Durrotun Nasihien, Muhammad Ikhsan Setiawan, Agus Sukoco, Elok Damayanti, Amrun Rosyid, Che Zalina Zulkifli, Abdul Talib Bon

Bibliographic record

VenueIJEBD (International Journal Of Entrepreneurship And Business Development) · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)TourismPandemicCoronavirus disease 2019 (COVID-19)Economic sectorEconomic recoveryGovernment (linguistics)SocioeconomicsBusinessGeographyEconomyEconomic growthEconomicsInfectious disease (medical specialty)MedicineDisease

Abstract

fetched live from OpenAlex

Based on the Bali Economic Quarterly Development document for the second quarter of 2021 by BPS, from the beginning of 2020 until now, the Covid-19 pandemic has continued to infect Indonesia. Even the number of new cases affected by this disease is increasing. Based on data from the Covid-19 Handling Task Force, as of June 30, 2021, the number of daily new confirmed cases reached around 21,000. Not only attacking the health sector, but this pandemic has also shattered the joints of the economy. Various government efforts carried out in 2021 have been able to withstand the economic contraction year on year. In the second quarter of 2021, Indonesia's economic growth year on year was recorded at 7.07 percent and was the first positive growth since the second quarter of 2020. In particular, the tourism sector became the sector that experienced the highest growth in the second quarter of 2021. The transportation and accommodation provision business fields, which are the business fields most closely related to the tourism sector, are the two categories that experienced the highest growth, namely by 25.10 percent and 21.58 percent. Among all provinces in Indonesia, Bali can be said to be one of the provinces most affected by the Covid-19 pandemic. Bali's dependence on foreign tourist visits has caused Bali to still slump in the economy. Since March 2020, the arrival of foreign tourists to Bali has continued to decline. The decline even reached almost 100 percent when compared to the same months the previous year.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.522
Threshold uncertainty score0.844

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.250
Teacher spread0.235 · 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 teacher head, 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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