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Record W4243760430 · doi:10.14426/ahmr.v3i2.832

Linking Harare and Johannesburg through Informal Cross-Border Entrepreneurship

2017· article· en· W4243760430 on OpenAlexfundno aff
Godfrey Tawodzera, Abel Chikanda

Bibliographic record

VenueAFRICAN HUMAN MOBILITY REVIEW · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Ethnicity, and Economy
Canadian institutionsnot available
FundersInternational Development Research Centre
KeywordsInformal sectorEntrepreneurshipUnemploymentEconomic growthInterviewDevelopment economicsPolitical scienceDemographic economicsGeographyEconomicsSocioeconomics

Abstract

fetched live from OpenAlex

Zimbabwe has witnessed a rapid expansion of informal cross border trading (ICBT) with neighbouring countries over the past two and a half decades. That expansion has largely been due to a persistent decline in the economy since the introduction of the Economic Structural Adjustment Programme (ESAP) in the 1990s, which led to the closure of many industries, increased unemployment and forced many people into the informal sector. This 2014 study sought to provide a current picture of ICBT in Zimbabwe by interviewing 514 informal entrepreneurs involved in ICBT between Harare (Zimbabwe) and Johannesburg (South Africa). The sample profile revealed that ICBT in Zimbabwe is dominated by females and young adults and that traders are fairly educated. The study results demonstrate the important role played by ICBT in the survival of households in the country.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.708
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.420
Teacher spread0.356 · 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 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

Citations5
Published2017
Admission routes1
Has abstractyes

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