Change.

By Hans-Jörg Schmid. The Journal of the Oklahoma State Medical Association, 2018

1,305 citations recorded by the source corpus.

This chapter discusses how the Entrenchment-and-Conventionalization Model explains language change. First, it is emphasized that not only innovation and variation, but also the frequency of repetition can serve as important triggers of change. Conventionalization and entrenchment processes can interact and be influenced by numerous forces in many ways, resulting in various small-scale processes of language change, which can stop, change direction, or even become reversed. This insight serves as a basis for the systematic description of nine basic modules of change which differ in the ways in which they are triggered and controlled by processes and forces. Large-scale pathways of change such as grammaticalization, lexicalization, pragmaticalization, context-induced change, or colloquialization and standardization are all explained by reference to these modules. The system is applied in a case study on the history of do-periphrasis.

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Citations in the corpus

The Mathematics of Change and Variation from a Millennial Perspective: New Content, New Context (2013, methodology): “Computational tools are leading to new epistemological methods as professional mathematicians explore the extraordinary graphical phenomenology of dynamical systems (Stewart, 1990).”
The Impact of Leadership and Change Management Strategy on Organizational Culture and Individual Acceptance of Change during a Merger (2006, unknown): “They evolve over time, and so it seems reasonable to posit that all cultural systems will exhibit continuous, incremental changes punctuated on occasion by more episodic, radical change (Watzlawick et al., 1974; Weick and Quinn, 1999).”
Reasoning about variation in the intensity of change in covarying quantities involved in rate of change (2012, background): “Reasoning about rate of change is a complex, challenging activity involving understanding, recognizing, and representing different types of change, including both constant and varying rates of change (Stewart, 1990).”
Rudiments of rough sets (2007, background): “, [20,54,124,271,345]), artificial intelligence [314], cognitive science [311], natural language [52], and research in rough set theory (see, e.”
A Dialogical Approach to the Creation of New Knowledge in Organizations (2009, unknown): “Reframing means reclassifying an object, or at least shifting emphasis from one class membership to another, so that a new view of it emerges (Bateson 1972, pp. 186–189; Bartunek 1988; Watzlawick et al. 1974, p. 98).”
Redox‐Flow Batteries: From Metals to Organic Redox‐Active Materials (2016, unknown): “German Edition: DOI: 10.1002/ange.201604925Redox-Flow Batteries International Edition: DOI: 10.1002/anie.201604925”