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Record W2530203977 · doi:10.1080/17441692.2016.1241293

The China National Tobacco Corporation: From domestic to global dragon?

2016· article· en· W2530203977 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

VenueGlobal Public Health · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsSimon Fraser University
FundersNational Cancer InstituteNational Institutes of Health
KeywordsChinaCorporationPolitical scienceTobacco industryTobacco useEconomic growthEnvironmental healthMedicinePopulationEconomicsLaw

Abstract

fetched live from OpenAlex

The China National Tobacco Corporation (CNTC), which produces one-third of the world's cigarettes, is the largest tobacco company in the world. Over the past 60 years, the CNTC has been focused on supplying a huge domestic market. As the market has become increasingly saturated, and potential foreign competition looms, the company has turned to expansion abroad. This paper examines the ambitions and prospects of the CNTC to 'go global'. Using Chinese and English language sources, this paper describes the globalisation ambitions of the CNTC, and its global business strategy focused on internal restructuring, brand development and expansion of overseas operations in selected markets. The paper concludes that the company has undergone substantial change over the past two decades and is consequently poised to become a new global player in the tobacco industry. This article is part of the special issue 'The Emergence of Asian Tobacco Companies: Implications for Global Health Governance'.

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)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.740
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.002

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 head0.048
GPT teacher head0.335
Teacher spread0.288 · 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