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Record W3122199926 · doi:10.1111/kykl.12110

China's Impact on Africa – The Role of Trade, FDI and Aid

2016· article· en· W3122199926 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

VenueKyklos · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsImpact
Fundersnot available
KeywordsForeign direct investmentChinaPanel dataEconomicsCompetition (biology)International tradeInternational economicsNatural resourceInvestment (military)GeographyMacroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Summary This paper investigates the impact of Chinese activities in sub‐Saharan African countries with respect to the growth performance of economies in that region. Using a Solow‐type growth model and panel data for the period 1991 to 2010, we find that African economies that export natural resources have benefited from positive terms‐of‐trade effects. In addition, there is evidence for displacement effects of African firms due to competition from China. On the other hand, Chinese foreign investment and aid in Africa does not appear to have a significant impact on African growth.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.757
Threshold uncertainty score0.281

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 head0.009
GPT teacher head0.269
Teacher spread0.259 · 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