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Record W3201968340 · doi:10.5267/j.ac.2021.7.005

Toward economic growth: Income distribution in the era of the COVID19 pandemic in east Kalimantan province

2021· article· en· W3201968340 on OpenAlexvenueno aff
Abdul Mukti Syarif, Rahcmad Budi Suharto, Zamruddin Hasid, Muhammad Saleh Mire, Jiuhardia Jiuhardia, Made Setini

Bibliographic record

VenueAccounting · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsIncome distributionUnemploymentPopulation growthPovertyPopulationDistribution (mathematics)Development economicsEquity (law)Per capita incomeInvestment (military)Economic growthInequality

Abstract

fetched live from OpenAlex

The technological era is a dilemma in the economic growth of a region. The policy of economic development, at least, contains two main objectives to be achieved, namely growth and equity. These two goals are usually in conflict with each other. That is, if growth reaches a high level, then equity reaches a decline so that the conscious effort to create a balance is one of the goals of development. Growth to increase income per capita is an effort in progress to increase output (through the use of factors of production with or without technological change) continuously in the long run, which is always associated with population growth. Because with high output growth coupled with high population growth, the growth of output will become a new problem, so efforts to overcome unemployment are also a crucial part of development. Equitable distribution of fixed income is one of the critical issues faced by an economy. Doing a real business venture so that the rent is more evenly distributed is an essential responsibility of an economic system. The development of an economy will cause changes that are not always good due to the use of labor. This sometimes causes the number and level of unemployment to increase, along with population growth. Finally the paper considers whether there is any evidence of government expenditure, Private investment and poverty rates on Income distribution in East Kalimantan Province is Significantly influenced but Economic is not Growth.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.445

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.213
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; 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

Citations2
Published2021
Admission routes1
Has abstractyes

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