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A Study about Pork Farm in Surakarta as Export Commodity

2019· article· en· W2940778688 on OpenAlexaboutno aff
Naufal Rhyo Ichwanda, Wilyam Lie, Septyanto Galan Prakoso

Bibliographic record

VenueJurnal Global & Strategis · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Trade and Competitiveness
Canadian institutionsnot available
Fundersnot available
KeywordsCommoditySoutheast asiaChinaBusinessInternational tradeAgricultural economicsExport tradeGeographyEconomics

Abstract

fetched live from OpenAlex

Pork as one of most consumed meat in the world had a big potential to be on prospective international trade commodities. Asia, especially East Asia and Southeast Asia had a deep root culture of pork culinary even in Moslem-majority countries like Indonesia and Malaysia. Although its commodity price is considered low in the international trade, the demand of pork is relatively stable. Current top exporter of pork is being held by European Union, followed by United States and Canada, while the current top importer of pork is held by China followed by United States. Southeast Asia actually had a potential to develop its pork export and take some of international market but in reality Southeast Asian countries still struggling to develop their pork export. Between Southeast Asia countries only Thailand and Vietnam who are able to export their pork meat to other countries in a large scale. Therefore, we want to share the result of our qualitative study regarding this topic to enhance the knowledge about the condition and the prospect of this commodity and what barrier that hinder Southeast Asian countries from developing their pork market by using competitive advantage theory and pork farm in Surakarta, Indonesia as the study case. The results of our study are expected could be used as reference to develop pork export in Southeast Asia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.267
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.024
GPT teacher head0.269
Teacher spread0.245 · 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.

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

Citations1
Published2019
Admission routes1
Has abstractyes

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