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Stochastic Model for Language Extinction Dynamics of Hausa Against Kanuri in Nigeria
International Peer-Reviewed Journal•Open Access•ISSN 2456-8880
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1723479 Vol 10 · Issue 3 Download Paper

Stochastic Model for Language Extinction Dynamics of Hausa Against Kanuri in Nigeria

Salihu Hauwa Danjuma Akinrefon Adesupo Adeoye Saidu Sauta Abdulkadir Jiberson Danjuma

Subject area: Science,Engineering and Technology  ·  Area of research: Statistics

Abstract

Language shift and weakening intergenerational transmission pose important challenges for indigenous languages in multilingual societies. This paper assesses Kanuri vulnerability under Hausa influence using questionnaire data and complementary stochastic models. The study uses 386 respondents and examines language competence, reported reasons for non-transmission, Poisson/branching-process estimates, an absorbing Markov chain, and a survey-based SIR proxy. Hausa reported competence was 97.96% speaking, 93.20% reading and 94.56% writing, while Kanuri reported 75.22%, 60.53% and 58.77%, respectively. Kanuri first-generation transmission probability was 0.699 compared with 0.853 for Hausa. The Markov analysis gave expected persistence of 3.325 generations for Kanuri and 6.825 for Hausa under the first-generation estimates. The survey-based SIR proxy for Kanuri was 4.297 in the first generation and 2.537 in the second. The findings consistently indicate greater vulnerability of Kanuri to weakening intergenerational transmission than Hausa in the observed sample. The results support strengthening parent-to-child transmission, Kanuri literacy, education, media and community use. The mathematical values are model-based and survey-based indicators, not guaranteed population-wide extinction.

Keywords

Language shift; Stochastic process; intergenerational-transmission; Branching process; SIR model.

References

[1] D. M. Abrams and S. H. Strogatz, “Modelling the dynamics of language death,” Nature, vol. 424, no. 6951, p. 900, 2003. Nature

[2] G. David, “The Future of Language,” Science, pp. 1329–1331, 2004.

[3] Encyclopaedia Britannica, “Extinct language,” Encyclopaedia Britannica, 2021.

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How to cite this paper

Salihu Hauwa Danjuma, Akinrefon Adesupo Adeoye, Saidu Sauta Abdulkadir, Jiberson Danjuma "Stochastic Model for Language Extinction Dynamics of Hausa Against Kanuri in Nigeria" Iconic Research And Engineering Journals Volume 10 Issue 3 2026 Page 3569-3579
Salihu Hauwa Danjuma, Akinrefon Adesupo Adeoye, Saidu Sauta Abdulkadir, Jiberson Danjuma "Stochastic Model for Language Extinction Dynamics of Hausa Against Kanuri in Nigeria" Iconic Research And Engineering Journals, vol. 10, no. 3, Sep. 2026
Salihu Hauwa Danjuma, Akinrefon Adesupo Adeoye, Saidu Sauta Abdulkadir, Jiberson Danjuma (2026). Stochastic Model for Language Extinction Dynamics of Hausa Against Kanuri in Nigeria. Iconic Research And Engineering Journals, 10(3).
Salihu Hauwa Danjuma, Akinrefon Adesupo Adeoye, Saidu Sauta Abdulkadir, Jiberson Danjuma "Stochastic Model for Language Extinction Dynamics of Hausa Against Kanuri in Nigeria" Iconic Research And Engineering Journals, vol. 10, no. 3, Sep. 2026.
@article{1723479,
      author = {Salihu Hauwa Danjuma, Akinrefon Adesupo Adeoye, Saidu Sauta Abdulkadir, Jiberson Danjuma},
      title = {Stochastic Model for Language Extinction Dynamics of Hausa Against Kanuri in Nigeria},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {3},
      pages = {3569-3579},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1723479.pdf},
      abstract = {Language shift and weakening intergenerational transmission pose important challenges for indigenous languages in multilingual societies. This paper assesses Kanuri vulnerability under Hausa influence using questionnaire data and complementary stochastic models. The study uses 386 respondents and examines language competence, reported reasons for non-transmission, Poisson/branching-process estimates, an absorbing Markov chain, and a survey-based SIR proxy. Hausa reported competence was 97.96% speaking, 93.20% reading and 94.56% writing, while Kanuri reported 75.22%, 60.53% and 58.77%, respectively. Kanuri first-generation transmission probability was 0.699 compared with 0.853 for Hausa. The Markov analysis gave expected persistence of 3.325 generations for Kanuri and 6.825 for Hausa under the first-generation estimates. The survey-based SIR proxy for Kanuri was 4.297 in the first generation and 2.537 in the second. The findings consistently indicate greater vulnerability of Kanuri to weakening intergenerational transmission than Hausa in the observed sample. The results support strengthening parent-to-child transmission, Kanuri literacy, education, media and community use. The mathematical values are model-based and survey-based indicators, not guaranteed population-wide extinction.},
      keywords = {Language shift; Stochastic process; intergenerational-transmission; Branching process; SIR model.},
      month = {September},
  }