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Record W2002645966 · doi:10.1177/0021909609350041

Unemployment, Trade Liberalization and Adjustment in Post-Transition South Africa

2009· article· en· W2002645966 on OpenAlexaff
Michelle Segal, Mark R. Brawley

Bibliographic record

VenueJournal of Asian and African Studies · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLabor market dynamics and wage inequality
Canadian institutionsMcGill University
Fundersnot available
KeywordsUnemploymentEconomicsFree tradeLiberalizationInternational economicsTrade barrierGovernment (linguistics)Investment (military)Flexibility (engineering)Labour economicsDevelopment economicsMarket economyEconomic growthPoliticsPolitical science

Abstract

fetched live from OpenAlex

Economic theory suggests that trade liberalization rewards relatively abundant factors of production — labor in most economically developing countries. In South Africa, trade liberalization has not benefited the locally abundant factor (unskilled labor). Instead, unemployment remains stubbornly high. The legacy of apartheid explains this surprising result; apartheid distorted factor markets (including patterns in land ownership, unionization, investment, infrastructural development and more). The gains from trade will remain elusive unless the Government engages in policies targeting flexibility in factor markets to support trade adjustment. ANC governments have introduced some policies along these lines, but have refrained from taking on certain politically powerful constituencies within their own party.

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)0.002
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 score0.059
Threshold uncertainty score0.117

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.028
GPT teacher head0.241
Teacher spread0.213 · 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

Citations9
Published2009
Admission routes1
Has abstractyes

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