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Record W2580535452 · doi:10.1177/1748048516689182

Political economy of Huawei’s market strategies in the Nigerian telecommunication market

2017· article· en· W2580535452 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

VenueInternational Communication Gazette · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobalization, Economics, and Policies
Canadian institutionsYork University
Fundersnot available
KeywordsMultinational corporationInternationalizationTelecommunicationsDominance (genetics)BusinessPoliticsCompetition (biology)General partnershipInternational tradePolitical scienceEngineering

Abstract

fetched live from OpenAlex

The growing internationalization of Chinese telecommunication companies’ business operation beyond the shore of Asian region is reconfiguring the global markets of telecommunication, and information and communication technologies in terms of chain of distribution, competition, and partnership. This is particularly evident in the African telecommunication markets where Huawei is now challenging the European and American multinational companies’ market dominance in telecommunication infrastructures, network expansion, and equipment supply. This article examines the political economy of Huawei’s business strategies and engagement in the Nigerian telecommunication sector, which is the biggest telecommunication market in the West African region.

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)0.000
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.970
Threshold uncertainty score0.712

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0030.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.035
GPT teacher head0.281
Teacher spread0.246 · 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