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Record W7116709193 · doi:10.1177/17480485251406829

Sub-Saharan African region: Dominant firms in the Pay TV markets by Tokunbo Ojo

2025· article· en· W7116709193 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 · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsYork University
Fundersnot available
KeywordsMultinational corporationOligopolyBroadcasting (networking)Market shareTelevision industryMarket structureMarket segmentation

Abstract

fetched live from OpenAlex

Structurally, African Pay TV markets are oligopoly in nature. This paper looks at the corporate strategies and history of the three transnational media companies – French Canal Plus (a spin-off company of the French multinational company, Vivendi, as of 2023), South African MultiChoice (a spin-off company of the South African multi-media conglomerate company, Naspers, as of 2019) and Chinese StarTimes. Combined, the three companies have over 70 percent of the market share of the continent's subscription Pay TV markets in terms of the numbers of the Pay TV subscribers. The paper concludes by highlighting the broader regulatory concerns and inherent limitations of ad-hoc broadcasting policy regime in relations to the subscription Pay TV market structure.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.974
Threshold uncertainty score0.545

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.019
GPT teacher head0.298
Teacher spread0.279 · 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