Furthermore, previous research has not explored beyond quantity of representation to also examine visual gender stereotypes and, in light of theoretical advancements in the area of intersectional research, the relationship between representations of gender and representations of ethnicity, body type, health, and age.
"Quantity of representation is important because visibility is important for members of oppressed groups in society," she said.
The immense quantity of such representations is relevant to showing that these are not isolated statements, but rather, part of a national campaign in which defendant Rosedale individually and actively participated.
GLAAD assigned grades of "excellent, good, adequate," and "failing" based on the "quality, diversity and relative quantity" of LGBT representations in each network's original programming, according to the advocacy group's officials.
The media advocacy group has given top marks to HBO, ABC Family and MTV in its latest annual Network Responsibility Index, which measures the "quality, diversity, and relative quantity of LGBT representations in each network's original programming" for the 2013-2014 televiseasoneaseason
Furthermore, we expected children to show a change in the shape of the distance effect, reflecting an increase in precision of quantity representation.
According to this view, the quality rather than the quantity of working memory representations determines performance.
As a result, the facilitation of concrete quantity representation in multi-representational numerals might be observed behaviorally when amplified by the lack of global attentional resources.
A 2015 study on the effect of television and perceptions of different races shows that "the quality and quantity of ethnic and racial representations can influence a wide range of cognitive, affective, and behavioral outcomes ranging from how audiences perceive, feel about, and treat different groups".
In particular, I focus the interactions between lexical items that refer to objects versus substances (i.e., count-nouns, like 'cow', versus mass-nouns, like 'beef') and the universally shared non-linguistics quantity representations of approximate number and surface area.
Machine learning methods in theory should be able to approach performance of human raters but they require a large quantity of scored data, proper feature representation, intensive feature engineering, and model selection.
