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Record W2061589128 · doi:10.1080/03736245.2001.9713727

INVISIBLE TRADE, INVISIBLE TRAVELLERS: THE MAPUTO CORRIDOR SPATIAL DEVELOPMENT INITIATIVE AND INFORMAL CROSS-BORDER TRADING

2001· article· en· W2061589128 on OpenAlexaff
Sally Peberdy, Jonathan Crush

Bibliographic record

VenueSouth African Geographical Journal · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicLocal Economic Development and Planning
Canadian institutionsQueen's University
Fundersnot available
KeywordsGovernment (linguistics)ImmigrationInformal sectorBusinessValue (mathematics)Economic growthGeographyEconomics

Abstract

fetched live from OpenAlex

This paper examines the activities and patterns of trade of small entrepreneurs involved in informal cross-border trade between South African and Mozambique and the potential impact of the Maputo Corridor Spatial Development Initiative (SDI) on their businesses. Virtually no mention is made of informal sector cross-border traders in policy documents and analyses of the Corridor, or other South African government policies directed towards increasing regional cooperation and export trade. This paper therefore also explores what traders know about the Maputo Corridor SDI and how they think it will affect their businesses. It suggests that although the Corridor may have a positive impact in some ways, unless other policies, particularly those relating to immigration and customs and excise policies are changed—the potential value of the Corridor to these small and medium enterprises (SMMEs) may be lost.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.020
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.004
Scholarly communication0.0030.002
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.026
GPT teacher head0.304
Teacher spread0.278 · 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

Citations39
Published2001
Admission routes1
Has abstractyes

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