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Record W3138995245 · doi:10.4018/ijicthd.2021040101

Telecommunication Business Information System and Investment Ecosystem in a Growing Economy

2021· article· en· W3138995245 on OpenAlexaboutno aff
Ugochukwu Okwudili Matthew, Jazuli Sanusi Kazaure, Ohabuiro John, Khalid Haruna

Bibliographic record

VenueInternational Journal of Information Communication Technologies and Human Development · 2021
Typearticle
Languageen
FieldEngineering
TopicICT Impact and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsNigeriansQuarter (Canadian coin)CommissionInvestment (military)Government (linguistics)BusinessTelecommunicationsAgricultural economicsEconomic growthFinanceEconomicsGeographyEngineeringPolitical science

Abstract

fetched live from OpenAlex

The current research investigated the telecommunication subscriber data in 2020 from the system report of Nigeria Communication Commission (NCC), which revealed that Nigerian monthly subscriptions are progressively increasing per monthly spending, reaching a total of 186 million telecommunication subscribers in January 2020, while in February the number of subscribers hit 187.4 million and 189.3 million in March of the first quarter (Q1) of 2020. In the second quarter (Q2) of April 2020, the number of telecommunication subscribers hit 191 million, while in May 192.3 million subscribers are recorded and 196.4 million subscribers in June 2020. The research further established that Nigerians spend N320 billion in January 2020 on calls and data services and N323.2 billion by February ending. Five structured questions were put forward to guide the outcome of the research findings. The findings of the research suggest that if the government does not regulate the citizens spending on telecommunication essential services, many Nigerians will be forced to spend out of pocket by 2030.

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 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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.581
Threshold uncertainty score0.403

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.003
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 head0.010
GPT teacher head0.223
Teacher spread0.212 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations8
Published2021
Admission routes1
Has abstractyes

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