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Record W2125164322 · doi:10.1002/agr.21397

On the Magnitude of the Geographic Distance Effect on Primary Agricultural and Processed Food Trade

2014· article· en· W2125164322 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAgribusiness · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsGravity model of tradeAgricultureGeographical distanceEconomicsMagnitude (astronomy)Border effectInternational tradeTrade barrierBilateral tradeAffect (linguistics)International economicsEconomic geographyEconometricsGeography

Abstract

fetched live from OpenAlex

ABSTRACT The empirical trade literature regularly emphasizes the essential role of the geographic distance in determining the levels and patterns of international trade. This paper examines the diversities in the magnitude of the geographic distance effects on primary agricultural trade and on processed food trade between OECD countries. The empirical results from different specifications of the gravity model reveal the existence of significant variations in the magnitude of the distance effects on primary agricultural trade and on processed food trade over time and through economic, geo‐economic, and socio‐economic characteristics of the exporting and importing countries. These findings imply that disregarding the variations through the distance effect by relying on overall estimates would adversely affect the design of trade policies, and would limit the understanding of trade patterns.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.846
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.013
GPT teacher head0.154
Teacher spread0.141 · 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