Sunday, December 1, 2019

Story image for iconic gown from EW.com

Pop culture's 15 most iconic yellow dresses

EW.com-Feb. 7, 2018
Way back in 2003, Kate Hudson taught us all How to Lose a Guy in 10 Days — and how to pull off a seriously incredible yellow dress while we're at it. Yellow is ...
Story image for iconic gown from Business Insider Australia

23 of Reese Witherspoon's most iconic onscreen outfits

Business Insider Australia-Nov. 8, 2018
Sometimes, Reese dresses for another decade, while other times, she's right on trend. We've rounded up 23 of her most iconic film and TV looks, thus proving ...
Story image for iconic gown from Fame10

The Most Iconic TV Wedding Dresses Of All Time

Fame10-Sep. 28, 2018
Even though they're fictional, some weddings from specific television shows seem to stick with us throughout the years. Many of the relationships we rooted for, ...
Story image for iconic gown from Vancouver Is Awesome

See Rihanna's iconic Met Gala dress at the Vancouver Art ...

Vancouver Is Awesome-Nov. 14, 2018
See Rihanna's iconic Met Gala dress at the Vancouver Art Gallery's new ... While this dress garnered a ton of attention online following the 2015 Met Gala, most ...

1 comment:

Pearl Necklace said...

As a result, instead of the "game" of meanings and the formation of new knowledge - submission to the will of a single, permanently reproducing old knowledge.

Mankind has always looked for ways to as accurately as possible reproduce the meaning of the text and especially through formalization of the process of operationalization of concepts, to move away from simple or complex intuitive analysis and move on to the quantitative with the necessity of measurement and the application of counting operations. For this was invented by such a method as a frequency characteristic distribution of meaning in the text.

However, it is necessary to immediately make a reservation: it is not about meaning as such, but only on the frequency distribution of a characteristic that already has its own meaning. By itself, the frequency distribution only gives a significance level of meaning expressed in the word, the concept, and through him, and the meaning of study indicator and nothing more. But the frequency distribution of the trait in which is used the basic concept can change the meaning of the last, and often very dramatically.

In other words, if the text often used a word, it will mean that it has some importance for the text. The meaning is determined by the author only through the context of many of the characteristics of an object. The result is that a set of homogeneous concepts (one class in the framework of the single concepts) enables to determine the main point of this set, expressed in this concept by a sign as an object.

So, the word "power" used in the framework of the trait "dominance," for a single use only indicates that such an indication exists. But when a large number the mention of the word "domination" in the text, the sign becomes imposing, as it already defines the meaning of "power" as "domination."

Clearly, if repeatedly used that feature, for example, "democracy", and the meaning of the word "power" will be fundamentally different. Thus, by means of the frequency characteristic distribution, it is possible to set the meaning of the text, or portions thereof, and thus the meaning of his basic concepts as dominant. That's about doing content analysis.