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Record W3128929415 · doi:10.32497/jobs.v2i2.655

ANALISIS PENGARUH LUAS KEBUN, PRODUKSI DAN HARGA EKSPOR CENGKEH TERHADAP VOLUME EKSPOR CENGKEH JAWA TENGAH

2016· article· id· W3128929415 on OpenAlexaboutno aff
Muhammad Hibatul Haqqi Zuhri, Jozef Bambang Tri Joga, Umar Farouk

Bibliographic record

VenueJOBS (Jurnal Of Business Studies) · 2016
Typearticle
Languageid
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsnot available
Fundersnot available
KeywordsJavaVolume (thermodynamics)Quarter (Canadian coin)Production (economics)Agricultural economicsAgricultural scienceEnvironmental scienceEconomicsGeographyArchaeologyPhysicsComputer scienceMacroeconomicsOperating system

Abstract

fetched live from OpenAlex

The purpose of this research to analyze relations between variable of the width of field plantation, production and pricing clove exports to the volume of exported cloves from central java .The method of analysis data used in the research is analysis multiple regression .The data used in the research are data time series quarter from year 2006- 2014 ( 9 years ) .The result showed that all three variables, the width of field plantation , production and pricing exports have simultaneously significant impact on the volume of exported cloves from central java.The width of field plantation and production have positive impact and significantly to the volume of exported cloves from central java while the price exports have negative impact and significantly to the volume of exports cloves central java

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.001

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 head0.047
GPT teacher head0.237
Teacher spread0.190 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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