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Report . 2026
License: CC BY
Data sources: Datacite
Open Science Framework
Other literature type . 2026
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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Toward a Native Taxonomy of Mixed Martial Arts: A Structural–Functional Model of MMA Interaction

Authors: Ionescu, Liviu Dănuț;

Toward a Native Taxonomy of Mixed Martial Arts: A Structural–Functional Model of MMA Interaction

Abstract

Mixed Martial Arts (MMA) has achieved substantial institutional maturity as a regulated global sport. However, its conceptual development continues to rely heavily on external disciplinary frameworks such as striking arts, wrestling, and Brazilian Jiu-Jitsu. This paper proposes a native taxonomy of MMA grounded in the internal logic of competitive interaction. The model distinguishes between structural zones of engagement and the functional layer comprising intentions, functional modes, and technical components, offering an integrated framework for describing how MMA action unfolds. The taxonomy emphasizes that fighter performance is shaped not only by disciplinary background but also by adaptive functional tendencies and context-specific roles. Empirical observations from elite competition illustrate the limitations of origin-based classifications and support an MMA-centered perspective. Rather than prescribing techniques, the framework provides a conceptual language for understanding MMA as an autonomous system. It also outlines potential implications for training organization, athlete development pathways, and governance-level curriculum design.

Keywords

Vocational Education, MMA taxonomy, Return to Sport/classification, combat systems, fighter development, technical components, Cricket Sport/education, mixed martial arts, combat pedagogy, Education, Return to Sport, skill interaction, functional modes, Sport, Sports

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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