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Pengaruh Perekonomian Indonesia di Berbagai Sektor Akibat Corona Virus Disease 2019 (Covid-19)

2020· article· en· W3085337225 on OpenAlexaboutno aff
Ni Ketut Muliati

Bibliographic record

VenueWidya Akuntansi dan Keuangan · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Coronavirus disease 2019 (COVID-19)PandemicOutbreakBusinessGeographyVirologyInfectious disease (medical specialty)DiseaseMedicine

Abstract

fetched live from OpenAlex

Pengaruh Perekonomian Indonesia di Berbagai Sektor Akibat Corona Virus Disease 2019 (Covid-19). This research was carried out based on the covid-19 outbreak that is currently happening in Indonesia and in several countries. This pandemic is not only threatening public health and safety but also threatens the economic situation in various sectors. The research method used in this research is qualitative research, data collection techniques used in this study are library research techniques. Based on the results of the Bank Indonesia (BI) Business Activity Survey (SKDU) in Quarter I-2020 indicating a decline in the economy in various sectors. This can be seen from the Weighted Net Balance (WNB) value in the first quarter of 2020 amounting to -5.56%, which is quite deep compared to 7.79% in quarter IV-2019. The decrease was caused by the decrease in demand and supply due to co-19.

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)0.001
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.040
GPT teacher head0.296
Teacher spread0.256 · 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

Citations31
Published2020
Admission routes1
Has abstractyes

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