Seeing the world differently (original) (raw)

Abstract

Maton, K., LI Cuiying, ZHAO Wenchao and ZHANG Dongbing (2020) Seeing the world differently, Educational Linguistic Studies, 2: 36–49.

Key takeaways

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  1. Legitimation Code Theory (LCT) integrates and extends Bernstein's concepts, emphasizing struggles for status and legitimacy.
  2. LCT uses five dimensions: Specialization, Semantics, Autonomy, Temporality, and Density to analyze practices.
  3. The Cartesian planes introduced by LCT allow for nuanced analysis of legitimation codes beyond fixed categories.
  4. LCT promotes understanding of tacit 'rules of the game' in academic literacy and knowledge-building.
  5. Collaboration with Systemic Functional Linguistics (SFL) enhances both frameworks, facilitating deeper analysis of knowledge practices.

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References (16)

  1. Bernstein, B. 1999. Vertical and horizontal discourse: An essay [J]. British Journal of Sociology of Education, 20(2): 266-279.
  2. Maton, K. 2000. Recovering pedagogical discourse: A Bernsteinian approach to the sociology of educational knowledge [J]. Linguistics and Education, 11(1): 79-98.
  3. Maton, K. 2004. The wrong kind of knower: Education, expansion and the epistemic device [A].
  4. In Muller, J., B. Davies & A. Moris (Eds). Reading Bernstein, Researching Bernstein [C]. 218-231. London & New York: Routledge.
  5. Maton, K. 2005. The Field of Higher Education: A Sociology of Reproduction, Transformation, Change and the Conditions of Emergence for Cultural Studies [D]. Unpublished doctoral thesis, University of Cambridge.
  6. • 49 • Ｓｅｅｉｎｇ ｔｈｅ Ｗｏｒｌｄ Ｄｉｆｆｅｒｅｎｔｌｙ 名家访谈 Maton, K. 2007. Knowledge-knower structures in intellectual and educational fields [A].
  7. In F. Christie & J. R. Martin (Eds). Language, Knowledge and Pedagogy: Functional Linguistics and Sociological Perspectives [C]. (87-108). London: Continuum.
  8. Maton, K. 2013. Making semantic waves: A key to cumulative knowledge-building [J]. Linguistics and Education, 24(1): 8-22.
  9. Maton, K. 2014. Knowledge and Knowers: Towards a Realist Sociology of Education [M]. London: Routledge.
  10. Maton, K. & Y. J. Doran. 2017. Systemic functional linguistics and code theory [A].
  11. In T. Bartlett & G. O'Grady (Eds.) The Routledge Handbook of Systemic Functional Linguistics [C]. 605-618. London: Routledge.
  12. Maton, K. & S. K. Howard. 2018. Taking autonomy tours: A key to integrative knowledge-building [J]. LCT Centre Occasional Paper 1 (June): 1-35. (see: www.legitimationcodetheory.com or www.karlmaton.com).
  13. Maton, K., J. R. Martin & E. Matruglio. 2016b. LCT and systemic functional linguistics: Enacting complementary theories for explanatory power [A]. In K. Maton, S. Hood & S. Shay (Eds.)
  14. Knowledge-Building: Educational Studies in Legitimation Code Theory [C]. 93-113.
  15. London, Routledge.
  16. Maton, K., S. Hood. & S. Shay. (Eds.). 2016a. Knowledge-building: Educational Studies in Legitimation Code Theory [C]. London, Routledge.

FAQs

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What are the five dimensions included in Legitimation Code Theory?add

LCT includes Specialization, Semantics, Autonomy, Temporality, and Density, with each dimension exploring different organizing principles underlying practices.

How does LCT aid in developing students' academic literacy?add

LCT aids academic literacy by making the 'rules of the game' explicit, thus helping students understand success criteria in various disciplines.

Why is the term 'legitimation codes' significant in LCT?add

The term underscores the necessity to study organizing principles in practices amidst struggles for status and resources, as emphasized by Bernstein's framework.

How does LCT differentiate itself from Bernstein’s 'code theory'?add

LCT expands upon Bernstein's ideas, integrating a broader range of phenomena and employing Cartesian planes for nuanced analysis of legitimation codes.

What role does the collaboration between LCT and SFL play in research?add

The collaboration enriches both frameworks, allowing researchers to analyze knowledge practices with LCT and linguistic expressions using SFL for deeper insights.

Last updatedOctober 11, 2025