Sentence examples for social classification from inspiring English sources

The phrase "social classification" is a correct and usable part of a sentence in written English.
It refers to the process of categorizing individuals or groups based on social characteristics such as race, gender, income, education level, etc. Example: "The study examined the effects of social classification on academic achievement among high school students."

Exact(60)

A condition that does not have an exact place in the social classification system and cannot be attributed to being socially right nor socially wrong is placed in a "grey zone".

The relative enthusiasms were measured by social classification.

I don't know, and the BBC probably doesn't either, because people rarely identify themselves by social classification.

In one particularly interesting chapter, Gilman and Thomas discuss the relationship between hatred and the rise of the "crowd," or the mob, a social classification that didn't exist prior to the nineteenth century.

It may thus be that social classification mainly in terms of gender and age belongs to an early period of social development, when obvious "natural" differences provide a means of differentiation, and that these factors lose their prominence with the more extensive division of labour and the growth of economic inequality.

It generates by degree the types of social classification, namely stratification among women (Illich 1996).

Finally, we follow [Balia and Jones (2008]) in deriving social classifications from the Registrar General's social classification which is based on three-digit SIC codes (jbrgsc).

Further, social identity is a kind of social classification of individuals; the category of ritual objects can be changed by rites of passage.

These indexes undoubtedly are meaningful for social classification against the backdrop of a seller's market, or in the early stage of a transition from a seller's market to buyer's market.

This trust problem is a valid scenario, seen for example in recommendation systems [5], aggregating data in smart grids, reputation systems [8], unsupervised machine learning [9], collective decision-making [10], data clustering [11], and social classification [12].

Also, we used suitable data (The data used for the social classification are education, occupation, household dimension, income, land value, building type and property sizes, and informal settlement map) for social groups classification and in the first social-economic map for Tabriz produced in this research.

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