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Record W7010422736

Import demand for Chilean table grapes in the United States market

2010· article· en· W7010422736 on OpenAlexaboutno aff

Bibliographic record

VenueTSpace (University of Toronto) · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomics of Agriculture and Food Markets
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Position (finance)Table (database)Rest (music)Price elasticity of demandElasticity (physics)Supply and demand
DOInot available

Abstract

fetched live from OpenAlex

This paper studied the United States import market for Chilean table grapes, with the objective of analyzing the competitiveness of Chile in this market. Using the LA/AIDS model (Linear Approximation almost Ideal Demand System), the import demand parameters were obtained for Chile, Mexico and the rest of the world (RDM). Quarterly data were used for import quantities, import values, and CIF (Cost, Insurance, and Freight) prices for the period between the first quarter of 1989 and second quarter of 2002. Own price elasticity estimates indicated inelastic demand for all three countries with values of -0.79, -0.86, and -0.82, for Chile, Mexico, and RDM, respectively. Cross price elasticities between Chile and Mexico indicated significant substitution relationships, which was further supported by a partial elasticity of substitution equal to 0.51. Jointly these results showed that although Chile has a strong position in this market, Mexico has also positioned itself as a potential competitor in those quarters where both countries overlap.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.011
GPT teacher head0.189
Teacher spread0.178 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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