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Record W2342287846 · doi:10.55281/jcb.v5i1.81

Analisis Manajemen Risiko untuk Perusahaan Non-Keuangan United Grain Growers (UGG)

2015· article· id· W2342287846 on OpenAlexaboutno aff
Riffa Haviani Laluma

Bibliographic record

VenueCOMPUTECH & BUSINESS JOURNAL · 2015
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicManagement and Optimization Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessAgricultural scienceRisk managementMathematicsEnvironmental scienceFinance

Abstract

fetched live from OpenAlex

United Grain Growers Company (UGG), which is a company engaged in agriculture in Canada. UGG risk management practices that are innovative enough to bring the award of best practices by insuring exposure not previously been insured, such as weather risks that are integrated with other risks. For that level of climate change risk analysis will determine the level of harvest delivery volume by analyzing the retention side, derivatives, and insurance. Keywords : UGG, Risk Management, Risk Weather, Retention Weather, Weather Derivatives, Insurance Abstrak Perusahaan United Grain Growers (UGG), yaitu perusahaan yang bergerak di  bidang pertanian di Kanada. Praktik manajemen risiko UGG yang cukup inovatif mendatangkan penghargaan praktik terbaik dengan mengasuransikan eksposur yang sebelumnya belum pernah diasuransikan, seperti risiko cuaca yang diintegrasikan dengan risiko lainnya. Untuk itu tingkat analisis risiko perubahan cuaca sangat menentukan tingkat volume pengiriman panen dengan menganalisis dari sisi retensi, derivatif, dan asuransi. Kata Kunci : UGG, Manajemen Risiko, Risiko Cuaca, Retensi Cuaca, Derivatif Cuaca, Asuransi.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.832
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.008
Science and technology studies0.0010.000
Scholarly communication0.0050.004
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.029
GPT teacher head0.244
Teacher spread0.215 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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