MétaCan
Menu
Back to cohort
Record W2390691090

Practices of Coastal and Inland Free Trade Zones in South America and China's Free Trade Zone Construction

2014· article· en· W2390691090 on OpenAlex
Ling‐Yun He

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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Business Research · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Zones and Regional Development
Canadian institutionsnot available
Fundersnot available
KeywordsFree trade zoneFree zoneExclusive economic zoneTransshipment (information security)Coastal zoneSpecial economic zoneChinaFree tradeInternational free trade agreementFree accessGeographyBusinessInternational tradeFisheryEngineeringEcologyOperations research
DOInot available

Abstract

fetched live from OpenAlex

The Two FTZs in South America, Panama Colon Free Zone and Brazil Manaus Free Economic Zone, are the world's most successful FTZ practice models. Colon Free Zone is a typical coastal FTZ. It has a favorable geographical condition. It is implementing the most lax free-trade zone management, to become an international freight transshipment and shipping center in America. Manaus Free Economic Zone is a typical inland free trade zone. It has developed the inland outward processing trade center by tax and customs duty exemption and cut measures. The practice of Colon Free Zone has great reference for the construction of Shanghai Free Trade Zone and other applying coastal type FTZ in China. And the practice of Manaus Free Economic Zone has great reference value for the construction of inland free trade zones in China.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.099
Threshold uncertainty score0.428

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.054
GPT teacher head0.290
Teacher spread0.237 · 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