Abstract

The article describes the results obtained in the decoding process of the suggestive potential of verbal models. A verbal model is defined by the author as a materialised model of any complexity level (sound-letter, word, text), bearing an inner form through the outer manifestation of which latent information content and resource of impact of a particular model is implemented. Any text is considered as a “translator” from the language of idiostates to the language of reality control. For the article the author has selected the examples which are centered around the texts written by N. I. Bukharin during the most complicated period of his life. The author discussed the dramatic result of the collision of two and more suggestions: suggestively strong intense texts created by N. I. Bukharin and the Powers reaction on them. One more group of the analyzed texts covers the quatrains (mantras), which were used for preparing warriors in medieval China. The author has made the model of the suggestive effect trajectory of sound-resonant sets of the given quatrains and has traced the picture of unusual brain rhythmic activity which appears in the course of the intensive multiple repeating of the texts by the training recruits.

Highlights

  • The verbal model of any degree of complexity possesses a suggestive potential of a different level

  • Scientists often reproach scholars for the absence of the objective methods of data analysis. Those reproaches are just in many ways if we speak about the traditional linguistic approach to the language phenomena analysis which is oriented towards the descriptive model of a language as a stable “solid” product based on the linguistic world-image which is derived from language units by way of logical-rational analysis of vocabulary units and texts

  • We started the work on creating formalized research algorithms for studying the suggestive resources of verbal models in 2005 [1: 96-103] with the attempt to analyze the arsenal of analytical units, by which we can decode the latent potential of a soundletter, word or text

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Summary

Introduction

The verbal model of any degree of complexity (a soundletter, word or text) possesses a suggestive potential of a different level. We started the work on creating formalized research algorithms for studying the suggestive (affecting) resources of verbal models in 2005 [1: 96-103] with the attempt to analyze the arsenal of analytical units, by which we can decode the latent potential of a soundletter, word or text. Through the experimental procedures of establishing associated colority of the note alphabet the latent influence potential and informativity of musical models are determined, associative colour matrix of the note alphabet is structured and the algorithm of automated analysis of the associative colority of the note discourse is created by the authors (research by T.M. Rogozhnikova, I.V. Bogoslovskaya, D.D. Kudashov).

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